Data Architect jobs at Sanofi US

Job Title: Senior Database Architect & Modeler Senior Database Architect & Modeler to join our team as we migrate our insurance application to a cloud-based Guidewire platform. This platform will support millions of users, and we need a leader who can set database standards, ensure best practices, and support scalability, maintainability, and performance across the system. This role is a unique blend of Database Administration (DBA) and Data Modeler , requiring expertise in both 3NF normalization and dimensional modeling. You will work closely with software/data engineers to ensure consistency in database design and implementation, troubleshoot performance issues, and support the migration to production environments. Key Responsibilities: Database Standards & Best Practices: Establish and enforce database design standards, ensuring consistency, scalability, and maintainability across the platform. Development Support: Lead database-related aspects of the development in Guidewire platform, ensuring high availability, low latency and scalability. Performance Optimization: Identify and resolve database performance issues, ensuring the platform can handle millions of users. Collaboration with Engineers: Work closely with software/data engineers to ensure database standards are adhered to during development and migration. Data Modeling: Design and implement 3NF normalization models and dimensional models. Cloud Database Expertise: Work with cloud-based databases such as Aurora PostgreSQL and analytical platforms like Snowflake. Production Support: Provide hands-on support during production outages, troubleshooting issues, and ensuring system stability. Requirements Qualifications: Experience: - 10+ years of experience in database architecture, modeling, and administration. - Successfully led 3+ large-scale database projects, covering the key responsibilities outlined above. - Extensive experience with 3NF normalization (dozens of projects) and dimensional modeling (2+ projects). - Hands-on experience with operational databases like Aurora PostgreSQL and analytical databases like Snowflake. - Proven track record of working with large engineering teams in a fast-paced environment. Technical Skills: - Strong knowledge of relational databases, cloud-based databases, and data modeling concepts. - Familiarity with ETL development and data integration processes. - Experience working with modeling tools like Erwin - Experience working with database monitoring tools like Datadog. - Experience with SaaS platforms like Guidewire platform is a plus Soft Skills: - Excellent communication and collaboration skills. - Strong problem-solving skills and the ability to troubleshoot complex database issues. Preferred Qualifications: - Experience in the insurance or financial services industry. - Familiarity with Agile/Scrum methodologies. - Familiarity with CI/CD pipelines, DevOps - Familiarity with metadata management tools - Familiarity with event streaming platforms like Kafka. - Familiarity with modeling for structured and semi-structured data. - Certifications in cloud platforms (AWS, Azure, etc.) or database technologies.

Job Details Flower Mound - Flower Mound, TX Hybrid $105000.00 - $180000.00 SalaryDescription Data Architect will lead the design and governance of our enterprise data architecture. This role will play a key part in shaping and optimizing how data flows through our organization-from SAP source systems through our cloud-native analytics platform, Databricks. You'll be responsible for designing scalable, secure, and high-performing data models that serve as the foundation for analytics, reporting, and AI/ML initiatives across finance, supply chain, operations, and commercial domains. Essential Functions and Duties Define and implement end-to-end data architecture standards, including data modeling, data integration, metadata management, and governance across the enterprise. Design scalable data models across Bronze, Silver, and Gold layers of a Databricks Lakehouse using Delta Lake and Unity Catalog and DLT. Lead data modeling efforts for critical business domains (e.g., finance, materials, logistics, customer) with deep understanding of SAP source systems such as ECC or S/4HANA (e.g., tables like ACDOCA, BKPF, BSEG, MARA, LIPS). Collaborate with data engineers to optimize ingestion and transformation processes across streaming and batch pipelines. Establish canonical models and semantic layers that power downstream BI tools and self-service analytics. Define and enforce data quality, data lineage, and data security policies in coordination with governance teams. Work with business stakeholders, product managers, and analysts to translate analytical use cases into high-quality data models and architecture patterns. Provide architecture oversight and best practices guidance on data integration tools (e.g., Fivetran), data cataloging, and performance optimization. Review and approve physical and logical data model changes across teams to ensure consistency and maintain architectural integrity. Partner with IT security and compliance teams to implement PHI/PPI/PII masking strategies and data access controls via Unity Catalog. Adheres specifically to all company policies and procedures, Federal and State regulations, and laws. Display dedication to position responsibilities and achieve assigned goals and objectives. Always represent the Company in a professional manner and appearance. Understand and internalize the Company's purpose, Display loyalty to the Company and its organizational values. Display enthusiasm and dedication to learning how to be more effective on the job and share knowledge with others. Work effectively with co-workers, internal and external customers and others by sharing ideas in a constructive and positive manner; listen to and objectively consider ideas and suggestions from others; keep commitments; keep others informed of work progress, timetables, and issues; address problems and issues constructively to find mutually acceptable and practical business solutions; address others by name, title, or other respectful identifier, and respect the diversity of our work force in actions, words, and deeds. Comply with the policies and procedures stated in the Injury and Illness Prevention Program by always working in a safe manner and immediately reporting any injury, safety hazard, or program violation. Ensure conduct is consistent with all Compliance Program Policies and procedures when engaging in any activity on behalf of the company. Immediately report any concerns or violations. Other duties as assigned. Qualifications Education, Knowledge, Skills, and Experience Required Education: Bachelor's Degree in a related field or four (4) years relevant experience in lieu of degree. Required Knowledge: Deep understanding of SAP ERP data models, especially core financials, logistics, and materials domains. Expertise in dimensional modeling, star/snowflake schemas, and modern data warehousing patterns. Proficiency in SQL and Python, with the ability to guide data engineers on best practices. Strong understanding of data governance, lineage, and security frameworks. Ability to communicate architectural concepts clearly to both technical and non-technical audiences. Preferred Knowledge: Exposure to SAP BW, S/4HANA CDS views, or native SAP data warehousing solutions. Familiarity with Power BI, Tableau, or Looker and how they integrate with semantic models. Understanding of AI/ML and how architecture supports model deployment and data science workflows. Required Experience: Must have seven (7) years [eleven (11) for non-degreed candidates] of experience in data architecture or data engineering, with a focus on enterprise-scale data. Strong hands-on experience with Databricks, including Delta Lake, Unity Catalog, and Lakehouse architecture. Proven experience in conceptual, logical, and physical data modeling using tools like ER/Studio, Erwin, Lucidchart, or dbt. Experience working in cloud environments such as Azure, AWS, or GCP. Preferred Experience: Experience with Fivetran, Informatica, or SAP data integration tools. Experience with data mesh principles and domain-oriented data product design. Required Skills: Strong leadership presence with the ability to influence across engineering, analytics, and business teams. Highly analytical, structured thinker with a passion for elegant, scalable solutions. Excellent collaboration and communication skills. Comfortable managing ambiguity and driving clarity in complex environments. Must have strong organizational skills Must have a detail orientation and the proven ability to prioritize work Must have effective verbal and written communication skills Must have the ability to work with limited supervision and as part of a team Sound decision-making abilities Physical requirements Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for prolonged periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The employee occasionally lifts to 20 lbs. and occasionally kneels and bends. Must have the ability to travel occasionally. Working condition include normal office setting. Mental Demands Learning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations' situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions. Direct Reports No EEO Statement FFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on the following characteristics: race, color, religion, national origin, physical or mental disability, gender, age (40 years and over) qualified veteran and any other characteristic protected by state or federal anti-discrimination law covering employment. These categories are defined according to Government Code section 12920. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.

Data Analyst Department: Client Operations Reports to: EVP, HUB Operations FLSA: Exempt The Corporate office operating hours are Monday through Friday 8:30 am - 5:00 pm EST. Primary Function: The incumbent is responsible for the data outreach, data capture/loading, and data reporting per specific program requirements. Job Scope and Major Responsibilities: Reach out to member pharmacies to gather missing data, clarify data inconsistencies, and offer technical assistance/expertise if necessary Identify, investigate, and resolve data anomalies using SQL or other statistical analysis software Ensure that Asembia's data reports meet program requirements and are delivered in a timely manner by making necessary changes to improve data accuracy Process daily/monthly/quarterly master data functions as assigned Provide ad hoc data analysis to internal and external parties as requested Append pharmacy data reports to the Asembia database using applicable data rules to ensure quality of input through various stages of the data-loading process. Communicate findings of data investigations and manage expectations for internal and external stakeholders The timely submission of accurate data to appropriate parties. Maintaining a high level of customer service for Asembia's customers - manufacturers and members' pharmacies. Successful collaboration with other Asembia team members to attain a common goal. Attendance and schedule adherence is critical. Adhering to company policies and procedures. Possess a professional demeanor, focused on respectful communication, a positive and reliable attitude, and responsible behavior. This includes dressing appropriately, being punctual, maintaining composure, and demonstrating accountability for your actions. Working outside of core business hours may be required. Other duties as assigned. Compliance with the provisions of the Health Insurance Portability and Accountability Act of 1996 and its implementing regulations, as amended (“HIPAA”). Qualifications: Bachelor's Degree required. B.A./B.S. Information Systems or similar field preferred. Minimum 2 years of experience working with pharmaceutical data in a team-driven environment Advanced Excel skills (building Macros, pivot tables & pivot charts, writing formulas, etc.). Proven track record with taking ownership of data investigations and seeing them through to resolution, preferably using SQL or other statistical analysis. The candidate must have client-facing experience and be able to articulate themselves clearly and concisely in their verbal and written communications. Excellent presentation and collaboration skills. Reliable and consistent attendance and schedule adherence is required. Asembia is committed to Equal Employment Opportunity (EEO) and to compliance with all Federal, State and local laws that prohibit employment discrimination on the basis of race, color, age, natural origin, ethnicity, religion, gender, pregnancy, marital status, sexual orientation, gender identity and expression, citizenship, genetic disposition, disability or veteran's status or any other classification protected by State/Federal laws .

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy PANTHERx is the nation's largest rare disease pharmacy, and we put the patient experience at the top of everything that we do. If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don't need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients. We are seeking team members who: Are inspired and compassionate problem solvers; Produce high quality work; Thrive in the excitement of the ever-challenging environment of modern medicine; and Are committed to achieving superior health outcomes for people living with rare and devastating diseases. At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases. Join the PANTHERx team, and define your own RxARE future in healthcare! Location: Pittsburgh, PA (Hybrid or Remote) Classification: Exempt Status: Full-Time Reports to: Vice-President, Analytics and AI Purpose The Principal Data Architect is responsible for setting and enforcing standards for data ingestion, data governance, deployment principles, environment scalability and performance, design requirements, coding standards, and implementation rules. The Principal Data Architect plays a critical role in evaluating technology options, aligning technology strategy with business needs, and mentoring the development team to elevate overall team capabilities. Responsibilities Establishes and maintains standards for data ingestion, data governance, deployment, scalability, performance, design requirements, coding, and implementation. Evaluates and recommends technology solutions to meet current and future business needs. Partners with business stakeholders to build technology strategy and roadmap. Mentors and guides the development team, fostering a culture of continuous learning and technical excellence. Collaborates with cross-functional teams to ensure data architecture supports business objectives and compliance requirements. Oversees the design and implementation of robust, scalable, and secure data environments. Ensures best practices in data security, privacy, and compliance are integrated into all data solutions. Stays current with industry trends and emerging technologies to drive innovation within the organization. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. Minimum of ten (10) years of experience in data architecture, data engineering, or related roles. Proven expertise in data governance, data modeling, and large-scale data environment design. Strong experience with modern data platforms, cloud technologies, and data integration tools.(i.e. Databricks, Snowflake, Python, Azure, etc.) Demonstrated ability to set technical standards and mentor development teams. Excellent communication and leadership skills. Preferred Qualifications Master's degree in Computer Science, Information Systems or related field. Experience in the healthcare or pharmacy industry. Work Environment This position works in a professional home or office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Physical Demands While performing the duties of this job, the employee is regularly required to sit, see, talk, or hear. The employee frequently is required to stand; walk; use hands and fingers to handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading and working with various forms of data on a screen for extended periods of time. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job. Benefits: Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program! Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees. Of course we offer paid holidays too! Equal Opportunity: PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.

Required Need help with deploying the architecture, developing the roadmap and standing it up. This involves infrastructure automation and CI/CD.

**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Overview of project: This is related to the files that are being received. These files need to be reviewed, analyzed and ingested into the data warehouse Skills Required: Data analyst with a Payor background

Description About Orsini Rare Disease Pharmacy Solutions Providing compassionate care since 1987, Orsini is a leader in rare disease and gene therapy pharmacy solutions, built to simplify how patients connect to advanced medicines. Through our comprehensive commercialization solutions including a nationwide specialty pharmacy, patient services hub, home infusion and nursing network, and third-party logistics provider, we work with biopharma, providers, and payors to ensure No Patient is Left Behind™. Our Mission Orsini is on a mission to be the essential partner for biopharma innovators, healthcare providers, and payers to support patients and their families in accessing revolutionary treatments for rare diseases. Through our integrated portfolio of services, we seek to pioneer comprehensive solutions that simplify how patients connect to advanced therapies while providing holistic, compassionate care so that No Patient is Left Behind™. LIVE IT Values At the heart of our company culture, the Orsini LIVE IT core values serve as guiding principles that shape how we interact with each other and those we serve. These values are the driving force behind our commitment to excellence, collaboration, and genuine care in every aspect of our work. Leading Quality, Integrity, Valued Partner, Empathy, Innovation, Team-First Salary Range: $70,000 - $85,000 POSITION SUMMARY Onsite Elk Grove Village, IL Responsible for advancing enterprise-wide reporting capabilities to both internal and external partners, including but not limited to, data aggregators, drug manufacturers, payers, hubs, 3PL, clinical care teams, and executive management. The positions focus is in developing and delivering automated, highly accurate and timely reporting to all business partners through electronic data exchange, reports, dashboards. The role will work with various technology platforms warehousing patient enrollment, continuity of care, dispense, medical and pharmacy claim, prescriber, inventory, financial and other data. The Data Analyst must manage many simultaneous projects and work closely with functional owners to develop a deep understanding of business needs, build, and deliver reports and analyses to meet those needs. REQUIRED KNOWLEDGE, SKILLS & TRAINING Knowledge of designing, deploying and managing reports using Microsoft Reporting Services platform (SSRS), T- SQL, PowerBI, MS Excel, Snowflake, other data processing/visualization tools Knowledge of standards and best practices used in conjunction with developing reports and dashboards using SSRS/PowerBI Data presentation and visualization Demonstrated strong interpersonal and communication skills Ability to multitask and prioritize critical projects in a fast-paced environment Proven analytical and problem-solving techniques Highly self-motivated and directed Positive attitude Experience working independently as well as in a team-oriented, collaborative environment Exceptional interpersonal, communication and customer service skills Prior experience in the healthcare, pharmacy or pharmaceutical industries preferred Knowledge of HIPAA/HITECH regulations preferred Experience working with healthcare data, including medical and pharmacy claims preferred Advanced T-SQL skills for stored procedure development, performance tuning, and troubleshooting Minimum 3 years of experience working with complex production reporting environment in both an analytics and development capacity preferred Experience working with complex multidimensional data models preferred ESSENTIAL JOB DUTIES Develop, validate, and maintain a full suite of reporting capabilities for internal and external clients Develop, build, and deliver requested reports, dashboards, and analysis Monitor performance metrics, including accuracy and timeliness of report delivery Manage multiple reporting/project requests and provide status Identify, analyze, and interpret trends and patterns in complex data sets Articulate complex results through the development of graphical reports Work closely and build rapport with internal clients across functional areas Develop a deep understanding of operations to anticipate reporting needs Continually improve project delivery timelines, accuracy, and workflows Adhere to Software Development Best Practices, Code Reviews, Root Cause Analysis and IT policies and SOP's Meet or exceed development project schedules, tasks and project completion time estimates Ensures compliance with HIPAA/HITECH while executing the strategic initiatives of the organization Maintain current knowledge to support changing technologies EMPLOYEE BENEFITS BCBSL Medical Delta Dental EyeMed Vision 401k Accident & Critical Illness Life Insurance PTO, Holiday Pay, and Floating Holidays Tuition Reimbursement

FlexIT is looking for a Data Analyst for a remote 12 months contract. Email resumes to: ********************* Job Duties and Skills: Data Analysis Pulling data from database platforms Creating source to target mapping documents Analyzing Json contracts Working in line with Nike data modeling and architecture best practices to support project initiatives Leveraging data expertise to distinguish master data, reference data, metadata Working with engineering to support enterprise data consumption (Amazon AWS, API, snowflake, hive) Strong SQL for analytics Documenting data processes, models, work in flight in Confluence and Jira Great technical and non-technical communication skills to be used for requirements gathering with stakeholders and communicate with engineering teams

FlexIT client has an immediate need for a Curation Data Analystfor a 12 months contract in Portland, Oregon. Project description Deep technical data analysis with an understanding of integration links and natural data keys.

Not open for C2C or 3rd party vendors. FlexIT client is looking for an immediate Data Analyst- SQLfor a 12 month remote contract. Top Skills:Strong SQL for analytics, Source to target mapping, Database Analysis, IT project management Email resumes:*********************

Role involves formatting and loading excel spreadsheets into the system. A candidate will need to efficiently manage a large amount of information and perform repetitive tasks.

FLEX IT has an immediate need for a Data Analyst - Excel, Tableau for our client. This would initially be remote and eventually onsite. Looking for local candidates in Portland, Oregon. Support in the execution of data collection, maintenance & optimization Partner with Stakeholders to deliver business value Work closely with the Manager to ensure budget, resources, and alignment on work are being met Operate within an agile framework Identify and help remove impediments to the success of the work Identify and communicate potential risks to the completion of the work, including resources, costs, and external dependencies, with proactive escalation as appropriate. Provide timely communication throughout the Sprint Drive cross capability coordination & scheduling

As a Product Data Management Analyst, you're a core part of a large Global Product & Merchandising Operations function where you will work hand in hand with CDPM functional & operations partners to drive product data excellence. Youll maintain our most important product data that is a key enabler of how we make plans, makes and manages product. This data enables all of our key initiatives including New Product Innovations, Digital Product Excellence, Advanced Analytics, Connected Product, our Retail footprint & overall Operational Excellence. In this role, your responsibilities are to: Create, maintain & support core CDPM product data through key systems Steward the data for accuracy, timeliness and completeness to support critical events throughout our Code process Interpret functional intent & apply data governance rules to ensure data accuracy Be the key product data contact for category teams by participating in team meetings and proactively communicating all relevant product data Generate & execute reports and will be able to correlate data across key systems in order to support category needs Analyze data to bring forward insights to improve business processes Participate in x-functional teams to create & improve data process, governance, performance management & change management capabilities Partner with operations & automation teams to automate data management tasks Troubleshoot product data issues arisen by all key CDPM partners and stakeholders Track, maintain, test & report upon defects & new features within key systems Be an amazing teammate Qualifications: Bachelor's degree in Business, Information Science or a related field, or two additional years of experience in lieu of a degree Minimum 2 years relevant work experience in a data management or reporting role Demonstrated experience with full data management responsibilities in an information management system or complex database Intermediate level proficiency in Excel including vlookups, pivots and formulas Excellent written and verbal communication skills Ability to work in a deadline driven environment Strong problem solving and decision-making skills Strong attention to detail and process orientation & ability to turn ambiguity into results Prior product (footwear, apparel and equipment) experience is beneficial Experience with industry leading planning, product mgmt, creation & data mgmt (Flex PLM, Yunique, Just Enough, Informatica, stibo, etc) is a plus

FlexIT client has an immediate need for aData Analyst for 12 month Remote contract in Hillsboro, Oregon. Email resumes to ********************* Top 3 Skills:Data flow mapping-Source to Target Mapping (STM), SQL Query for Data validation and Profiling User Requirements documentation within Agile process

FlexIT client is looking for a Data Governance Transition Manager for 12-month remote contract. Top 3 Skills: Change Management; Communications (written); Communication strategy. Project description: To drive the data governance communication plan to activate the operating model of EDC, Data Trustees, Guardians, and Stewards and enable governance to be business-led across. Responsibilities: The primary tasks, functions, and deliverables of the role Develop communication toolkits to drive organizational change top down from the EDC through stewards to activate the governance operating model Develop canned communications to support governance processes and platforms being established Develop and drive communications to governance organizations stakeholders across client newsletters and other marketing techniques to drive engagement and operationalization of governance Collaborate and coordinate with client communications groups and transition management teams to drive rollouts of policies and standards and reporting processes as we monitor adoption of governance policies and standards across. Create risk mitigation strategies to enable adoption of governance through the governance operating model Exercise strong leadership working both independently and with project teams to understand, research, determine, document and communicate data governance direction Utilize deep knowledge of data needs/requirements and continually expand business understanding as you work to determine effective solutions to data governance adoption challenges, some of which may create issues for the business Utilize strong influencing and communication skills to tell the story of data governance to business partners towards resolution of data quality problems Work to elevate greater understanding across the D&A and business communities of the role of data governance and the importance of sustaining quality data

Data Analyst(Collateral Analysis) Duration: Contract Schedule: Monday - Friday 8:30AM - 5:00PM Hybrid Schedule: (3) Days in Office (Tuesday-Thursday) & (2) Days Remote (Monday & Friday) Dress: Business Casual This is a big migration project starting in February 2025. Client is now moving forward and would like to obtain (2) temporary employees for a (5) month project starting in February 2025. JOB DESCRIPTION: Collateral Analysis Temp Job Responsibilities (include but not limited to): Assist in the data analysis aspects of the mortgage List Load Process. This includes reviewing member submitted loan level pledge files, analyzing the information through the Bank's ETL application, generating reports, comparing results, and uploading to Collateral System. Create member reporting for accuracy and completeness. Perform comparisons of generated ETL reports against the previous month's member submission and test system. Proactively work with other colleagues within Collateral Analysis and the broader Collateral Risk Management team to ensure data quality submitted and respond to data related inquiries. RequirementsMortgage, Collateral, Loan(Finance, banking) experience must. Location: Tri-state area(Must be in NYC area, no relocation) Ability to analyze loan level data for residential, multifamily and CRE mortgages. Ability to monitor mortgage pledge extract for eligibility and synthesize large amounts of loan level data. Ability to refresh member reports, canned and ad-hoc. Expert in the use of tools such as MS Excel, MS Access and any ETL tools (Carlisle Group's Collateral Analysis System “CAS” preferred) used to analyze loan level mortgage data. Knowledge of SQL language a major plus. Ability to communicate data changes both verbally and written. In addition to the above Analyst must demonstrate Collaborative and Proactive skills.

Your work will change lives. Including your own. We are leveraging new technology to create virtuous cycles of learning around datasets to build a next-generation biopharmaceutical company. It's complex biology, decoded. Recursion is a digital biology company industrializing drug discovery. We are working to solve some of the hardest, most meaningful problems facing human health today. Come join us in our mission to decode biology to radically improve lives, while doing the most impactful work of your life. Recursion's Returnship Program Our Returnship program is sponsored by the Women at Recursion Employee Resource Group. The program is aimed at helping those who have taken a hiatus (2+ years) from the STEM industry have the opportunity to return to the workforce in a learning environment with support from teams and mentors. This allows our company to tap into an underutilized pool of talent in Utah, and leverage the experience and skills of previous work and life experiences, while also providing opportunity to learn and develop experience in new cutting-edge tools and technology. This sixteen-week program will enable you to have ownership of projects that can deeply impact the company's mission to radically decode biology and serve patients, while having the guidance, support and mentorship has you re-enter the workforce. Each Returner will be assigned a mentor who will meet with them weekly, as well as weekly seminars on workplace culture, communication and technology. Our returner program lasts 4 months, running from February 2026 through the end of May 2026, with potential for transition into full-time employment depending on performance and availability. This position is mainly based in our Salt Lake City, UT headquarters, with some hybrid working flexibility available. Data Science & Applied Machine Learning Returnship Working alongside Recursion's Nomination Workflows team, you will engage with a cross-functional group having expertise in biology, chemistry, data science, and engineering. This team is responsible for the first two stages of Recursion's drug discovery pipeline, where we generate novel hypotheses and identify promising chemical matter. We accomplish this by building and operating a scalable, semi-automated computational system that mines our data for new & interesting starting points for our discovery portfolio. All work in this team directly contributes to improving the quantity, reliability, quality, and confidence of our early-stage program starting points. Projects on this team include: Program Advancement: Partner closely with biologists and chemists to advance specific early-stage programs through exploratory data analysis and experiment evaluation. Method Development: Analyze and improve our semi-automated evaluation systems through exploratory data analysis, method development, and deployment of new data analysis methods or metrics. Platform Improvements: Maintain, update, and improve our scientific code-bases to harden our systems, improve observability, accelerate development, and enable new capabilities and automations. The Experience You'll Need This role is for individuals who have been on a career hiatus of 2+ years from the STEM industry. We are seeking candidates with a strong foundational background and a passion for learning. A strong foundation in either: applying probability, statistics, and machine learning to real-world datasets developing scientific software, workflow orchestration, or data-engineering Familiarity with the Python data stack (e.g., numpy, pandas, scikit-learn). Prior experience in collaborative software development, including version control tools like git. The ability to critically review python code, whether authored by peers or LLM coding agents. An aptitude for breaking down complex problems into manageable parts and clearly communicating project objectives & progress to a diverse team. Nice to have: Experience analyzing biological or high-dimensional datasets. Familiarity with workflow orchestration systems (e.g., Prefect). Experience accelerating & improving code development with coding agents The Recursion Community While we offer cutting-edge tools, the secret sauce is our people. Our organization structure and culture isn't driven by politics or ego, it is designed first and foremost to help you do your best work. We live and work by values that we see as the strategic differentiators that give us a competitive advantage, allowing for better and faster work that isn't predicated on burnout and encourages us to make leaps where others take steps. This is a place where people in every role and every level make the bold bets that create large leaps forward on a regular basis! The Perks You'll Enjoy as a Returner Recursionaut Paid sick pay and additional flexibility as needed. Complimentary chef-prepared lunches and well-stocked snack bars (Salt Lake City). One-of-a-kind 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers and bike parking (Salt Lake City). Weekly Returners Skill Development Classes. 1:1 Weekly Mentorship with a member of your team and a member of the Returnship ERG. #LI-DB1 The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

The Principal Information and Data Architect will provide leadership in architectural planning and solution delivery across multiple domains/ solution areas, contributing to the future success of?the business through innovations in technology. A person in this role will be responsible for leading opportunity identification and analysis, problem definition, and overseeing the development and deployment of advanced information and data design practices within the Enterprise Architecture organization. This role, along with business leadership and leaders within Data and Analytics Engineering will lead and contribute to the definition of an overarching data strategy and architecture that will align investments with the highest impact areas, while producing a suite of complementary models, tools, and technologies