Senior Product Analyst jobs at Wayfair

We currently have an exciting opportunity for a Lead Product manager over our Catalog and AI system to join our Digital Product Team. This highly visible role combines AI leadership with deep catalog and content systems ownership. You will help design and deploy our next-gen catalog data model and content enrichment workflows powering client multi-banner ecosystem. Your work will ensure products and experiences are machine-readable, discoverable, and adaptive across channels - fueling both customer-facing and internal AI capabilities. You'll lead a cross-functional squad building AI-driven catalog and data solutions while mentoring peers and shaping the company's broader AI and content strategy. What You'll Do | Key Accountabilities: Own and lead the catalog and AI product lifecycle strategy through outcomes, balancing data model evolution, enrichment automation, and intelligent content generation. Define and deliver the next-gen catalog data model to support multi-brand architecture, enabling flexible attributes, relationships, and metadata across product types. Build and scale content enrichment systems and workflows, integrating AImodels to generate, tag, and validate structured and unstructured product content. Partner with engineering, data, and merchandising to ensure catalog data is clean, structured, and machine-readable across systems and surfaces. Drive the vision and roadmap for AI-powered catalog applications - including intelligent categorization and adaptive product discovery. Collaborate closely with engineering and data science teams to design, build, and deploy models-including RAG (Retrieval-Augmented Generation) pipelines, LLM integrations, and AI-assisted authoring tools for catalog and customer experiences.. Champion cross-brand consistency in product content standards, taxonomies, and metadata models to support omnichannel personalization. Model excellence in product trio collaboration, uniting Experience Design, Engineering, and business toward scalable and measurable catalog and AI outcomes. Lead agile execution by setting best practices and driving clarity across epics, tickets, releases, and experiments. Act as an evangelist for AI innovation-showcasing proofs of concept, staying current with industry developments, and helping teams understand how to leverage AI to improve customer experience and operational efficiency. Partner and tactfully influence cross-functionally with site operations, merchandising, customer service, and store operations teams to ensure alignment throughout the product lifecycle. What You'll Bring | Skills & Experience: 10+ years of experience in product management, including direct ownership of product catalog, PIM, or content management systems for ecommerce, and hands-on experience building and launching AI-enabled products. Proven success building or modernizing catalog data models and content enrichment services (e.g., PIM/MDM, DAM, or schema-driven systems). Experience leading AI and data platform initiatives including LLM integrations, RAG pipelines, and generative content systems. Strong understanding of eCommerce architecture, product data ingestion, attribute governance, and integration with search and recommendation platforms. Demonstrated understanding of AI and machine learning fundamentals- including model lifecycle management, RAG architectures, prompt engineering, and data retrieval systems. Experience working with large language models (e.g., OpenAI, Anthropic, or open-source LLMs), and integrating them into customer-facing or internal tools. Proven ability to lead cross-functional, omni-channel initiatives with high complexity and strategic value. Product management experience on at least one enterprise commerce platform Salesforce Commerce Cloud, Shopify Plus, CommerceTools, Oracle, etc.); retail experience a plus. Advanced skills in strategic and analytical thinking, including experimentation, product analytics, and A/B testing. Skilled at driving end-to-end product requirements, prioritizing complex deliverables, and running technical and business discussions within agile frameworks. Strong technical and non-technical communication skills, with the ability to influence and align stakeholders across all levels of the organization. Motivational and tactful leader who builds clarity, momentum, and buy-in across teams. Curiosity and enthusiasm for AI and structured content systems, continually exploring how advancements like multimodal models, agents and automation can transform retail experiences. High level of accountability, autonomy, and executional excellence in a fast[1]paced environment. Bachelor's degree in business, information technology, engineering or equivalent training and experience preferred

• Partner closely with Business, Architecture, Tech Leads, and Product Management to drive end-to-end project execution and alignment. • Evaluate existing business processes, uncover inefficiencies, and propose data-backed improvements. • Use SQL to extract, parse, and analyze CRM and ERP datasets, generating insights that inform operational and strategic decisions. • Build and maintain dashboards, reports, and performance metrics to track business health and support continuous optimization. • Present analysis, insights, and recommendations to stakeholders through clear, structured communication. • Support the rollout of new systems, workflows, and process enhancements to strengthen operational efficiency. • Create functional documentation, business process flows, and other project artifacts to ensure clarity and traceability. • Write detailed user stories and acceptance criteria in Jira to guide development and testing. Skills • Strong cross-functional collaboration with business, product, architecture, and engineering teams • Proficient in SQL for extracting, parsing, and analyzing complex CRM/ERP datasets • Ability to evaluate business processes and identify optimization opportunities • Skilled in building dashboards, reports, and performance metrics • Clear and structured communication of insights and recommendations • Experience supporting system implementations and process improvements • Strong documentation capabilities, including workflows, functional specs, and user stories (Jira)

Partner closely with Business, Architecture, Tech Leads, and Product Management to drive end-to-end project execution and alignment. Evaluate existing business processes, uncover inefficiencies, and propose data-backed improvements. Use SQL to extract, parse, and analyze CRM and ERP datasets, generating insights that inform operational and strategic decisions. Build and maintain dashboards, reports, and performance metrics to track business health and support continuous optimization. Present analysis, insights, and recommendations to stakeholders through clear, structured communication. Support the rollout of new systems, workflows, and process enhancements to strengthen operational efficiency. Create functional documentation, business process flows, and other project artifacts to ensure clarity and traceability. Write detailed user stories and acceptance criteria in Jira to guide development and testing. Skills Strong cross-functional collaboration with business, product, architecture, and engineering teams Proficient in SQL for extracting, parsing, and analyzing complex CRM/ERP datasets Ability to evaluate business processes and identify optimization opportunities Skilled in building dashboards, reports, and performance metrics Clear and structured communication of insights and recommendations Experience supporting system implementations and process improvements Strong documentation capabilities, including workflows, functional specs, and user stories (Jira).

RCM Product Manager - Digital Health If your skills, experience, and qualifications match those in this job overview, do not delay your application. Company: Saisystems International Compensation: $120,000 - $140,000 per year Employment Type: Full-time Join Saisystems International's Digital Health team as an RCM Product Manager. You will lead strategy and delivery for revenue cycle solutions that help healthcare providers improve cash flow and operational efficiency from patient registration through collections. What you'll do Own the end-to-end product lifecycle for RCM products, from discovery and design through launch and iteration. Turn insights from billers, coders, revenue cycle leaders and payers into clear product requirements. Prioritize and manage the roadmap and backlog using Agile practices. Partner with engineering and UX to ship intuitive, compliant and scalable features. Ensure smooth integrations with EHRs, clearinghouses, payer portals and practice management systems. Monitor KPIs such as claim rejection rate, days in A/R and collection rate, and use data to guide improvements. Stay current on RCM and healthcare regulations (e.g., CMS, HIPAA, coding changes) and support go-to-market efforts. What you bring Bachelor's degree required; MBA or related certification is a plus. 3-6 years of product management experience, ideally in healthcare or RCM software. Hands-on knowledge of RCM workflows (eligibility, coding, billing, denials, collections). Experience working with cross-functional Agile teams. Familiarity with healthcare data standards such as FHIR, HL7 and 837/835/270/271. Excellent communication, analytical and problem-solving skills. About Saisystems International Saisystems International is a healthcare and technology company with 500-1,000 employees, headquartered in Shelton, Connecticut. With more than three decades of experience, the company focuses on improving operational efficiency and patient care through integrated solutions and is recognized as a multi-year "Best Place to Work. xevrcyc " Guided by the value of Seva (service), Saisystems donates a portion of its annual profits to charitable initiatives.

This role is only open to USC/GC holders who can work on our w2. No C-C is possible There will be a F2F interview Job Title: Lead Business Analyst Duration: Long term contract Duties Strategic Analysis and Solution Definition Lead business discovery for agentic AI initiatives, translating enterprise objectives into clearly defined product and system requirements. Partner with engineering, data science, and risk teams to ensure each solution aligns with firm priorities, compliance standards, and long-term AI governance frameworks. Define success metrics and measurable outcomes for agentic systems that drive advisor productivity, client intelligence, and firm efficiency. Requirements Management Elicit, document, and refine requirements that span AI reasoning, data integration, knowledge orchestration, and adaptive decision flows. Bridge technical and business contexts - ensuring that the intent, capabilities, and constraints of frameworks such as Strands, CrewAI, LangGraph, and Agent Core are accurately reflected in user stories and acceptance criteria. Manage change control for rapidly evolving agentic capabilities, balancing agility with traceability and compliance. Stakeholder Alignment and Communication Act as the primary interface between business leaders, developers, and governance teams to maintain a shared understanding of priorities, tradeoffs, and dependencies. Translate complex AI and engineering concepts into concise, business-relevant narratives for executives and non- technical audiences. Facilitate workshops, design reviews, and model demonstrations to ensure feedback loops are fast and informed. Governance and Risk Integration Partner with Compliance, Data Governance, and Enterprise Architecture to embed ethical, auditable, and transparent AI operations throughout solution design. Ensure agentic AI initiatives align with data residency, privacy, and supervisory regulations applicable to financial services. Operational Excellence and Delivery Drive the full delivery lifecycle - from concept through deployment - maintaining clear documentation, prioritization, and validation processes. Support testing, model validation, and release readiness activities by providing context, user scenarios, and performance benchmarks. Continuously refine business processes and operating models to leverage the adaptive nature of agentic systems. Skills Technical and Analytical Proficiency Strong understanding of AI/ML concepts, particularly agentic and LLM-based architectures. Familiarity with AWS cloud environments, data pipelines, and API-driven ecosystems. Ability to interpret and validate outputs from frameworks such as Strands, CrewAI, LangGraph, and Agent Core in collaboration with engineers. Experience working with structured and unstructured data, embeddings, and retrieval systems to support intelligent automation. Business and Strategic Insight Deep expertise in requirements analysis, process optimization, and value mapping across enterprise systems. Strong ability to quantify business impact, model ROI, and articulate how AI systems drive competitive advantage. Understanding of financial services operations, risk management, and compliance implications in production AI environments. Leadership and Collaboration Proven success leading multi-disciplinary teams across data, engineering, and governance functions. Skilled in translating ambiguity into structure and clarity; comfortable operating at the intersection of innovation and regulation. Exceptional written and verbal communicator capable of aligning senior stakeholders around transformative AI initiatives. Mindset and Behavior Analytical precision, bias for execution, and intellectual curiosity about AI's evolving role in business decision-making. Integrity-driven; consistently aligns actions with client outcomes and firm values. Embraces iterative learning and continuous improvement in both systems and self. Education Bachelor's degree in Information Systems, Computer Science, a related field or equivalent experience. 5+ years of experience in business analysis, product ownership, or AI/technology-driven transformation-ideally within financial services or a regulated enterprise.

Skills: SQL database querying, Rest API, Swagger, Stakeholder Management. Product Manager experience is a must and industry experience in last mile delivery app space is a plus We're looking for a passionate and results-oriented Product Manager to join our growing team. Are you a product enthusiast with a passion for crafting intuitive and engaging mobile experiences? Do you thrive on turning user insights and business needs into seamless mobile solutions? If you're ready to shape the future of our driver and merchant mobile apps, and improve their daily lives, join us! Role & Responsibilities: • Drive Product Execution and Strategy: o Develop and execute the product roadmap in alignment with business objectives. o Identify, scope, and design product strategies and user experiences that drive customer satisfaction and business growth. o Collaborate closely with sales, marketing, operations, UX, analytics, legal, compliance, and engineering teams to ensure successful product launches. • User-Centric & Data Driven Approach: o Develop a deep understanding and empathy for our users (consumers, merchants, and operators). o Conduct and analyze feedback from stakeholders, market research, customer research, usability testing, and UAT to ensure we're building the right solutions. o Leverage data and insights to inform product decisions and drive continuous improvement. • Team Leadership & Collaboration: o Coordinate effectively with mobile app development teams and designers to translate product requirements into high-quality mobile experiences. o Build strong relationships with stakeholders across all levels of the organization, advocating for the needs of our mobile app users. • Technical Proficiency: o Understand the fundamentals of mobile app development (iOS and Android platforms), release cycles, and common mobile technologies. o Work closely with mobile software engineers to ensure mobile products and releases are launched correctly, are performant, and on schedule. o Practical experience in product analytics and data insights, with a good foundation in PowerBI and/or SQL, etc. • Innovation & Growth: o Make creative recommendations to enhance the features and functionality of our mobile applications. o Suggest ways to track mobile app usage, user engagement, and the impact of mobile features on end users and business goals. • Documentation & Communication: o Produce and review product requirements documents, wireframes, prototypes, and write specifications for new features and changes. o Communicate product vision, strategy, and progress effectively to stakeholders. Qualifications: • Bachelor's degree in a related field (e.g., Business, Computer Science, Engineering) • At least 3 years of product management & UX experience • At least 2 years of experience leading product teams • Experience as a team lead working with other disciplines to identify, scope, and execute critical projects • Strong analytical and problem-solving skills with the ability to make data-driven decisions • Excellent communication, presentation, and interpersonal skills • Strong emotional intelligence and the ability to build trust and collaboration within teams

Senior Data Governance Consultant (Informatica) About Paradigm - Intelligence Amplified Paradigm is a strategic consulting firm that turns vision into tangible results. For over 30 years, we've helped Fortune 500 and high-growth organizations accelerate business outcomes across data, cloud, and AI. From strategy through execution, we empower clients to make smarter decisions, move faster, and maximize return on their technology investments. What sets us apart isn't just what we do, it's how we do it. Driven by a clear mission and values rooted in integrity, excellence, and collaboration, we deliver work that creates lasting impact. At Paradigm, your ideas are heard, your growth is prioritized, your contributions make a difference. Summary: We are seeking a Senior Data Governance Consultant to lead and enhance data governance capabilities across a financial services organization The Senior Data Governance Consultant will collaborate closely with business, risk, compliance, technology, and data management teams to define data standards, strengthen data controls, and drive a culture of data accountability and stewardship The ideal candidate will have deep experience in developing and implementing data governance frameworks, data policies, and control mechanisms that ensure compliance, consistency, and trust in enterprise data assets Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred This position is Remote, with occasional travel to Plano, TX Responsibilities: Data Governance Frameworks: Design, implement, and enhance data governance frameworks aligned with regulatory expectations (e.g., BCBS 239, GDPR, CCPA, DORA) and internal control standards Policy & Standards Development: Develop, maintain, and operationalize data policies, standards, and procedures that govern data quality, metadata management, data lineage, and data ownership Control Design & Implementation: Define and embed data control frameworks across data lifecycle processes to ensure data integrity, accuracy, completeness, and timeliness Risk & Compliance Alignment: Work with risk and compliance teams to identify data-related risks and ensure appropriate mitigation and monitoring controls are in place Stakeholder Engagement: Partner with data owners, stewards, and business leaders to promote governance practices and drive adoption of governance tools and processes Data Quality Management: Define and monitor data quality metrics and KPIs, establishing escalation and remediation procedures for data quality issues Metadata & Lineage: Support metadata and data lineage initiatives to increase transparency and enable traceability across systems and processes Reporting & Governance Committees: Prepare materials and reporting for data governance forums, risk committees, and senior management updates Change Management & Training: Develop communication and training materials to embed governance culture and ensure consistent understanding across the organization Required Qualifications: 7+ years of experience in data governance, data management, or data risk roles within financial services (banking, insurance, or asset management preferred) Strong knowledge of data policy development, data standards, and control frameworks Proven experience aligning data governance initiatives with regulatory and compliance requirements Familiarity with Informatica data governance and metadata tools Excellent communication skills with the ability to influence senior stakeholders and translate technical concepts into business language Deep understanding of data management principles (DAMA-DMBOK, DCAM, or equivalent frameworks) Bachelor's or Master's Degree in Information Management, Data Science, Computer Science, Business, or related field Preferred Qualifications: Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred Experience with data risk management or data control testing Knowledge of financial regulatory frameworks (e.g., Basel, MiFID II, Solvency II, BCBS 239) Certifications, such as Informatica, CDMP, or DCAM Background in consulting or large-scale data transformation programs Key Competencies: Strategic and analytical thinking Strong governance and control mindset Excellent stakeholder and relationship management Ability to drive organizational change and embed governance culture Attention to detail with a pragmatic approach Why Join Paradigm At Paradigm, integrity drives innovation. You'll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm. Learn more at ******************** Policy Disclosure: Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.

Responsibilities: Business & Product Strategy Deeply understand the business of Digital Banking - from member needs to operational processes to revenue and engagement levers. Translate business objectives into a clear product roadmap and measurable outcomes. Partner with business and technology leadership to prioritize initiatives that drive member value and growth. Technical Expertise Work closely with engineering and architecture teams to translate product vision into scalable, performant digital solutions. Understand system dependencies, integration patterns, and constraints across Salesforce, core banking, and digital experience layers. Evaluate technical trade-offs and ensure alignment with long-term platform strategy. Analytics & Insight Define, track, and analyze KPIs for digital adoption, engagement, and performance. Partner with Data and Analytics teams to establish dashboards and reporting that inform decision-making. Use data to articulate the “why” behind product outcomes and continuously drive improvement. Financial Management Lead CapEx and OpEx planning and management for Digital Banking initiatives in partnership with Finance, IT, and Consumer Bank leadership. Track spend, forecast investment needs, and ensure alignment between financials and strategic priorities. Provide clear reporting on financial performance, ROI, and project value realization. Quarterly Planning Organize and lead quarterly planning sessions across Consumer Banking and IT. Align stakeholders around shared priorities, resourcing, and sequencing. Foster a culture of transparency, accountability, and results. Requirements: Bachelor's degree in Business, Computer Science, Engineering, or related field; MBA or advanced degree preferred. 8+ years of experience in Product Management or Technical Product Management; experience in Digital Banking or FinTech strongly preferred. Must have leadership experience. Strong understanding of digital channels (mobile and online banking), APIs, cloud platforms, and core systems integration.

No third party vendors!! Must be local to Philadelphia, PA due to hybrid work schedule Exciting opportunity for a Senior Business Analyst in Philadelphia, PA (3 days/onsite)!! Looking for a Business Systems Analyst that is very confident and can handle an executive level audience. The best candidate will be outgoing, confident and have excellent communication skills as they will work with all audience levels. Adaptability and multitasking is critical for the success of this role. Skillset required for the role SDLC Knowledge Waterfall Requirements Agile/ Scrum Visio Requirement Traceability (RTM) Business Experience Creating Documentation Develop Requirements Artifact Management MS Office Suite Process Flows

Are you an experienced IT Business Analyst with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced IT Business Analyst to work at their company in Chicago, IL. We are seeking a highly skilled professional with hands-on experience in end-to-end development of data modelling and expertise in leveraging Power Query and DAX. This role requires more than just experience working alongside a data modelling team; the ideal candidate will have direct, hands-on involvement in data modelling processes. Join our dynamic team in Chicago, a vibrant city known for its rich history, diverse culture, and thriving business environment. Experience the best of both worlds with our hybrid working model, offering flexibility and the chance to collaborate in person with our talented team. Primary Responsibilities/Accountabilities: Understand business requirements from various stakeholders and plan a solution to address data requirements. Candidate should have hands-on experience with end-to-end development of data modelling, and leveraging Power Query and DAX. Simply working on a team adjacent to data modelling, or managing a data modelling team is not sufficient. Collect, refine, and prepare data for analytics and visualisation. Develop, design, and maintain Power BI dashboards, SQL Queries, and analytics. Define new KPIs and analyze them to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews to drive strategic decision-making. Identify new data functionalities or enhancements needed to support better decision-making and business growth. Solve any data or performance issues related to workbooks and data sources. Qualifications: Hands-on experience with end-to-end development of data modeling, and leveraging Power Query and DAX. Degree in a quantitative field with 5 years of relevant experience. Strong proficiency in SQL, Excel, and building dashboards using BI Tools such as Power BI. Ability to read an ETL pipeline and collaborate with Data and Software Engineers. Capability to design new metrics and collaborate with Data Scientists. Experience in leading projects independently and collaborating with Operations and Finance. Proven ability to successfully influence without authority. Strong verbal and written communication skills; adept at working with individual contributors and senior leaders.

Company Profile Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization's technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps get companies get “unstuck”. We're a technology company that lives organizations a process and context to solve problems in unconventional ways. We're a catalyst for organization's talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable About this role: Role- Business Analyst- Payment domain Location- Metropark, NJ, Charlotte, NC and Chandler, AZ Payments Technology team is looking for a Lead Business Technology Consultant, specializing in high-value wire payments and interbank networks. You will leverage your deep domain expertise in Fedwire, CHIPS, and SWIFT to drive technical analysis, solution design, and workflow optimization for mission-critical payment transformation. In this role, you will: Lead complex business and technical analysis for payment system initiatives, focusing on wire transfers, Fedwire, CHIPS, and SWIFT network integrations. Collaborate with cross-functional teams to define requirements, map processes, and design solutions that align with regulatory, compliance, and operational standards. Analyze and document current and future state workflows, identifying gaps and recommending improvements for payment processing, settlement, and reconciliation. Serve as the subject matter expert (SME) for ISO 20022 payment message formats, validation rules, and exception handling. Support the rollout of new payment platforms and upgrades, including migration planning, QA testing and parallel/shadow runs. Liaise with technology, operations, and business stakeholders to resolve complex issues and ensure seamless integration of new tools. Prepare and deliver clear documentation, including business requirements, functional specifications, process maps, and training materials. Contribute to strategic planning and roadmap development for payment modernization initiatives. Required Qualifications: 7+ years of experience in payments technology, operations, or consulting, with a focus on wire transfers and interbank networks. Deep working knowledge of Fedwire Funds Service, CHIPS, and SWIFT payment flows, message formats (ISO 20022), and operational processes. Experience in Agile SDLC Proven experience in technical analysis, requirements gathering

Our client is looking for a Data Analytics Consultant with strong SQL and Snowflake experience This is a long term contract that is hybrid in the Deerfield area. W2 only, No C2C Responsibilities: Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Qualifications: Bachelor's Degree in Analytics, Engineering, Statistics or related field 5+ years of Data Analytics experience Strong SQL background Snowflake experience Pay around 75-85/hr

Experience in writing user stories in the proper user story formats Seeking a Business Process Subject Matter Expert (SME) to lead process analysis, design, optimization, and governance efforts. The SME will partner with business stakeholders, IT, and project teams to translate strategic objectives into efficient and compliant end-to-end processes that improve effectiveness, reduce risk, and enable automation. Key responsibilities Act as the primary business authority on end-to-end processes within the assigned domain, providing deep operational knowledge and decision support. Analyze current-state processes to identify inefficiencies, bottlenecks, compliance gaps, and opportunities for automation or cost reduction. Design and document future-state processes, detailed process maps, policies, procedures, and standard operating procedures (SOPs). Define business requirements, acceptance criteria, and process KPIs to support solution delivery, automation, and continuous improvement. Collaborate with stakeholders to prioritize process changes, build business cases, and estimate benefits and risks. Work closely with IT, solution architects, and developers to ensure technical solutions align with business needs and process design. Support implementation of process changes, including testing, training, and adoption activities; validate that solutions meet business requirements. Establish and maintain process governance, controls, and compliance standards; monitor process performance and lead remediation where needed. Mentor and enable process owners and frontline teams to sustain improvements and incorporate best

The ideal candidate will play a role in the development of multiple parts of the business by analyzing past, current, and future business trends. This individual will establish strategies to achieve desired outcomes and implement these strategies. They will often work cross-functionally with internal business units in order to understand the challenges that these teams are face and provide solutions to these groups. Responsibilities Develop new product and service oriented strategies Communicate and implement strategies alongside technical team Identify and solve weaknesses within the organization Explore new ways to increase customer or client satisfaction Qualifications Bachelor's degree in Business or related field 5+ years' of experience in related industry Proficient in Microsoft Office suite Strong written and verbal communication skills Regards, Ashish Lal | Talent Acquisition Manager Charter Global Inc | ***************************** Email: ************************* LinkedIn: ASHISH K LAL | LinkedIn One Glenlake Parkway | Suite 525 | Atlanta, GA 30328

Responsibilities: Business-person who has knowledge of secondary mortgage, securitization and communicate with IT and business team in business terminology and provide business inputs / flow / processes etc. Can be able to discuss business with client's PO / PA and IT team leads. At the same time, he can help DEV Team to resolve their doubts about business requirements. Agile knowledge is added advantage. Experience and knowledge of secondary mortgage, securitization is must. Key responsibilities: - Define and own product strategy, roadmap and release plans for secondary mortgage market and securitization capabilities. - Lead the product vision, roadmap and execution for systems and processes that support the secondary mortgage market, with a strong emphasis on securitization workflows and investor delivery. - Act as the single product owner voice between business stakeholders (trading, capital markets, trading ops, servicing, investor relations, risk, legal) and delivery teams to prioritize value, manage scope, and ensure timely, compliant releases. - Own product outcomes: investor settlement accuracy, timeliness of deliveries, quality of loan tapes, complaint handling, regulatory and investor reporting, and automation of manual touchpoints. - Translate business requirements and capital markets practices into well-structured user stories, acceptance criteria and prioritized backlog. - Work deeply with trading, structuring, ops and risk to shape features for loan pooling, MBS/TBA workflows, REMIC/Trust setup, cashflow waterfalls, trustee reporting, and investor accounting. - Ensure systems and data meet investor, rating agency and regulatory requirements (prospectuses, pooling criteria, representations & warranties, remediations). - Coordinate end-to-end delivery across engineering, QA, data, and integration teams; facilitate sprint planning, demos and UAT. - Validate functional and data quality through review of loan-level tapes, settlement exceptions, reconciliations and investor remits. - Partner with legal, compliance and risk to embed controls and automated checks for repurchase triggers, indemnifications and servicing transfers. - Drive continuous improvement: reduce manual reconciliations, automation of investor reporting, increase straight-through-processing and lower settlement risk. - Provide domain expertise to support pricing/valuation, prepayment modeling assumptions and business cases for product investment. Required experience and skills: - Proven product owner or senior business analyst experience in the secondary mortgage market. - Direct experience with mortgage securitization processes (structuring, pooling, deal execution, trustee setup, REMIC/Trust mechanics) strongly preferred. - Strong knowledge of loan-level deliverables and investor requirements (loan tapes, formats, data elements), GSE and agency/non-agency securitizations. - Familiarity with investor platforms, settlements, custodian/trustee interactions, and investor reporting. - Experience working in Agile/Scrum environments and using tools such as JIRA, Confluence and CI/CD practices. - Good technical fluency: ability to review data models, SQL queries, API specifications and system integration points with engineering teams. - Excellent written and verbal communication skills; proven ability to align multiple stakeholders and make trade-offs. - Strong analytical and problem-solving abilities with attention to detail and control orientation. - Domain-focused problem-solver who can move quickly between strategic thinking and detailed operational requirements. - Pragmatic decision-maker who prioritizes risk mitigation and business value. - Collaborative leader with the ability to influence cross-functional teams without direct authority. Preferred qualifications: - Prior work in capital markets, mortgage trading desks, securitization desks, or servicing/loan delivery teams. - Understanding of cashflow waterfalls, credit enhancement structures, tranche mechanics and rating agency considerations. - Experience with loan servicing rights (MSR) systems, investor accounting systems, or mortgage servicing platforms. - Familiarity with regulatory frameworks affecting securitization and investor disclosures. - Bachelor's degree in Finance, Economics, Business or related field; MBA or advanced degree a plus. Success metrics: - Increase in straight-through processing rate for investor deliveries. - Reduction in settlement exceptions and repurchase incidents. - On-time investor reporting and settlements. - Predictability and quality of delivery (release predictability, defect rate). - Business stakeholder satisfaction and time-to-market for critical securitization features.

Our client is currently seeking a Cloud Financial Analyst Full time Direct hire Hybrid to downtown Chicago (3 days a week onsite) The ideal candidate will have a strong background in technology management and IT financial analytics, playing a key role in governance for technology budget planning and forecasting. Responsibilities Prepare and analyze public cloud forecasts and budgets; monitor financial performance and recommend optimization strategies. Design, implement, and monitor financial infrastructure metrics. Apply the FinOps framework to maximize business value of public cloud investments, collaborating with business, engineering, and finance teams. Partner cross-functionally to plan and execute cloud optimization opportunities while ensuring compliance with governance controls. Design, configure, validate, and maintain cloud transparency and total cost of ownership (TCO) reporting. Model complex business problems, uncover insights, and identify opportunities using data mining and visualization techniques. Participate in budget and forecast review processes to ensure consolidation and rationalization. Qualifications Previous experience in FinOps with a strong background in Technology Business Management (TBM) or IT Finance. Experience modeling cloud service costs and IT expenses (including application TCO and business capability TCO). Strong ability to work across multiple levels of management and departments. Highly motivated, with ownership of projects and ability to deliver solutions on time and within budget. Technical Skills Proficiency with Apptio One, Cloudability, CloudHealth, AWS Cost Explorer, AWS QuickSight, or similar IT cost modeling tools. Advanced data transformation skills using MS Excel. Strong analytical, problem-solving, and troubleshooting skills. Ability to use data mining and visualization techniques to identify insights and opportunities. Excellent communication and presentation skills. Certifications (Preferred) FinOps Certification, AWS Certified Cloud Practitioner, or other cloud certifications. Certified TBM Executive (CTBME), Recognized TBMA (RTBMA), Elite TBMA (ETBMA). Education & Experience Bachelor's degree in information systems, Business Management, Finance, or related field. MBA or related graduate coursework a plus. Minimum of 8 years of relevant work experience. Salary Range: $130k- $155k + Bonus

AI for Data Governance Product Lead (Remote) Execute the strategy, roadmap for enterprise data governance and AI-driven automation products. This role combines product management expertise with technical skills in AI agent development, enabling governance adoption and automation across Collibra, Databricks Unity Catalog, and Snowflake. Key Responsibilities Product Strategy & Roadmap o Define vision and roadmap for AI-powered data governance solutions. o Align product initiatives with enterprise data strategy and compliance requirements. AI Agent Development o Design and oversee development of AI agents for governance automation (metadata ingestion, lineage tracking, risk scoring). o Implement agent orchestration using Collibra AI Governance and MCP Server. Platform Integration o Drive integration between Collibra DIP, Databricks Unity Catalog, and Snowflake. o Ensure interoperability through APIs and automation frameworks. Stakeholder Engagement o Collaborate with engineering, data governance teams, and business units to prioritize features. o Conduct workshops and demos to drive adoption of AI-driven governance tools. Compliance & Risk o Implement guardrails and audit trails for AI agent actions. Performance Metrics Delivery of AI agent-driven governance features on roadmap. Increased automation and reduced manual governance tasks. Adoption rate of governance workflows across enterprise platforms. Compliance adherence and audit readiness. Minimum Skills Required: Required Skills 5+ years in Product Management with the following: o Experience in defining product vision, writing PRDs, and managing backlogs. o Strong understanding of agile methodologies and stakeholder management. Technical o Hands-on experience with Collibra DIP, Databricks Unity Catalog, and Snowflake. o AI agent development skills (Python, APIs, orchestration frameworks). o Familiarity with MLOps and AI governance standards. AI Amplification Preferred Certifications Collibra Certified (Data Steward, Workflow Developer, AI Governance Specialist) or Any Data Governance tool. o Ability to leverage AI for workflow automation and governance adoption.

Are you an experienced AI Business Consultant with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced AI Business Consultant to work in Boston, MA. Join our dynamic team in the vibrant city of Boston, where you will play a pivotal role in shaping the future of our Wealth Management/Retail business through cutting-edge AI initiatives. This position offers an exciting opportunity to work at the intersection of technology and business, driving impactful transformations that align with our enterprise strategy. The role is responsible for driving the execution of AI initiatives that deliver measurable business outcomes. As a strategic business partner, you will collaborate with stakeholders to identify opportunities, shape AI use cases, and guide initiatives from ideation through production. Your expertise will ensure AI solutions are impactful, scalable, and aligned with business priorities. Primary Responsibilities/Accountabilities: Partner with business unit leaders to understand strategic goals, operational challenges, and process landscapes. Identify and shape AI opportunities that drive measurable business outcomes and operational transformation. Lead the end-to-end delivery of AI initiatives, translating business strategy into actionable technical solutions. Develop and maintain prioritized AI roadmaps, delivery playbooks, and reusable frameworks to accelerate execution. Collaborate with data science, engineering, and enterprise architecture teams to ensure seamless integration of AI solutions. Define and track success metrics and KPIs to measure the impact of AI initiatives on business performance. Support transitions from proof-of-concept to production, ensuring minimal friction and maximum value realization. Monitor AI delivery performance, resolve issues, and ensure alignment with business expectations. Recommend opportunities for process automation, service optimization, and cost reduction through AI. Ensure AI solutions comply with our standards for data governance, regulatory requirements, and ethical use. Act as a trusted advisor to business leaders, helping them envision and realize the “art of the possible” with AI. Coordinate cross-functional efforts for AI initiatives that span multiple business units or shared services. Contribute to strategic initiatives, special projects, and continuous improvement efforts as assigned. Qualifications: Minimum 7 years supporting the development and adoption of technology solutions. Strong understanding of AI solutions such as intelligent automation, predictive analytics, NLP, or GenAI in enterprise environments. Strong understanding of business processes and operational models across various domains, preferably aligned with our core functions (Wealth Management, Retirement, Employee Benefits, Operations, etc.). Excellent communication and stakeholder engagement skills. Strategic mindset with hands-on delivery capabilities. Ability to work independently and manage multiple initiatives simultaneously.

Job Title -- MAZDC5697389 Sales Executive -- Anindya Mazumdar Must-Haves: Looking for an emphasis on soft line retails, (e.g., shirts).** More experience on the Retail side is what's needed here. Ultimately it is a blended role (Retail & Analytics) but the Retail piece is KEY. Ideally want those with more Analytics than Retail Minimum 3 years analytical experience in retail, especially applying insights to business KPIs and decision-making. Intermediate SQL skills (3 years): data discovery, understanding storage, and data retrieval. Minimum 3 years Retail industry experience (KPIs, etc.) Nice-to-Haves: Tableau or other data visualization tools and building of dashboards for them Experience with pricing analytics (60% of the role). Familiarity with Snowflake, BigQuery, Redshift. Coding / technical aptitude in Python, and for data analysis purposes (using pandas, NumPy, matplotlib) Ability to support data preparation and light modeling tasks. Business Intelligence background A/B testing concepts and basic statistical techniques Bachelor's degree in Mathematics, Economics, Data Science/Analytics, Computer Science, Operations Research, or a related field Future Skill Growth Opportunities: AI chatbot efficiency for operations Automation for Salesforce/Snowflake releases Business process analysis / technical requirements Resume-building with AI-related projects Responsibilities: Technical Business Acumen - Strong understanding of retail KPIs and operations with the ability to translate data into meaningful business recommendations that drive revenue, efficiency, or guest satisfaction. Retail Analytics - Experience supporting the business including merchandising, buying, planning, operations, marking, etc. in retail environments across brick-and-mortar and ecommerce channels. Familiarity with retail inventory systems, POS data, and product lifecycle metrics. SQL & Data Management - Advanced SQL skills to extract, join, and transform large datasets; experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift. Dashboarding & Data Visualization - Expert-level experience building dashboards and reports in Tableau or similar tools to drive self-service analytics and business storytelling. Functional Deliver Actionable Business Insights: Conduct deep-dive analyses on retail performance including pricing and promotional effectiveness, customer behavior, and product lifecycle to inform merchandising and planning decisions. Build and Maintain Visual Dashboards: Develop intuitive, automated Tableau dashboards and self-service reporting tools to monitor key performance indicators and support cross-functional teams in decision-making. Collaborate with Cross-Functional Teams: Partner with merchandising, marketing, finance, and technology stakeholders to translate business needs into data-driven solutions and clearly communicate analytical findings. Develop Scalable Analytical Solutions: Write robust SQL code to query, clean, and manipulate large datasets from cloud-based sources (e.g., Snowflake, BigQuery) in support of repeatable, scalable analytics workflows. Support Data Science Initiatives: Collaborate with data scientists on advanced projects by preparing data inputs, conducting exploratory data analysis, and validating model outputs to ensure business relevance