Data product manager job description

Bloomberg's Enterprise Data business continues to be a market leader when it comes to providing enterprise content for the financial services industry. Our offering includes best-in-class enterprise data and data delivery via a fully managed platform. Our committed customer base appreciates the quality of our content, completeness of our coverage, data delivery, technology, tools, and high-touch client service model.
Environmental, Social, and Governance (ESG) Data Product Manager:

Our sustainable finance data solutions complement our award-winning reference, pricing, and regulatory data products in bringing together a complete product suite that creates a compelling value proposition to research analysts across traditional fundamental analysis as well as quantitative and quantamental research. This business is core to our growth strategy across Enterprise Data, and our ambition is to continue servicing the most complex demands and challenges of our clients so that they can keep innovating and delivering value to their clients.

Our team is responsible for identifying, creating, and designing data solutions that leverage Bloomberg's proprietary analytics and industry-leading sustainability data. This requires an in-depth understanding of environmental, social, and governance (ESG) data and familiarity with key sustainability topics, such as climate change. Key to this is understanding the multi-dimensional challenges our clients are trying to solve and making sure that we remain their trusted partner as they work with us to build solutions driven by best-in-class data.

We are looking for an experienced data professional who understands the multiple use cases for ESG enterprise content including quantitative and quantamental research across multiple investment and risk management strategies.

We will trust you to:

Show domain expertise on key ESG drivers behind company performance and the types of ESG data firms are using, and how they are linking these datasets together to create an edge in an increasingly competitive market Stay current on major sustainability trends within the financial industry that continue to evolve and disrupt traditional thinking and drive the many use cases for enterprise data Develop a deep understanding of our enterprise offering when it comes to our ESG content as well as the accessibility, usability, quality, tools, and services available to clients that allow them to deepen their interaction and usage of our content Set, track, and review metrics for desired product outcomes and clearly communicate product vision, roadmap, and development status and execute through collaboration with multiple stakeholders including global data specialists, sales, engineers, and support organization Develop a strong relationship with a core group of clients that will partner with us to expand our understanding of their key challenges and evolve our offering through ongoing dialogue and experimentation to systematically solve their challenges Display product management skills and effectively manage data product specification, prioritization, and backlog by continually addressing business needs through an agile process Understand data science techniques and platforms that our clients are either building or leveraging to extract value from big data Demonstrate strong problem-solving, analytical, and technical skills through proficiency in Python or similar programming languages typically used in data science and data engineering
You will need to have:


A minimum of 5 years' experience as a Product Manager or related role A strong understanding of capital markets, preferably in a broad range of asset classes Familiarity with data science and quantitative investing processes Basic proficiency in Python, R, or other programming languages typically used in data science, greater proficiency is highly valued Problem solving skills to deconstruct client problems with a data driven approach when making a business case for resources, enhancements, and getting management buy-in Self-motivated and driven by innovation and idea sharing The capability of fostering relationships with new and existing clients as well building an internal network that fosters collaboration and build on a strong culture of teamwork Bachelor's degree in statistics, mathematics, economics, business management, or other related field CFA or equivalent preferred
Does this sound like you?


Apply if you think you're a match! We'll be in touch right away with next steps.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

22WD63454

Position Overview
We are looking for a Jr. Data Science Product Manager that sits in the intersection of econometrics and software development. As a Data Science Product Manager, you will be working closely with stakeholders to define, deliver, and execute data science products and experiments to drive growth and impact for Autodesk customers. You will collaborate closely with data scientists, engineers, and other product managers to implement, track, and deploy data science products and experiments. The ideal candidate must have statistics, economics, or a similar background, and be interested in software development and data science challenges. You will be a strategic advisor to the product management organization, guiding them through experiment creation and delivery. While you will not be creating models, your job as a product manager will be to identify the WHY and the WHAT needs to be built and analyzed. You need to be an extreme collaborator since your influence should maximize the interaction with our data science to accelerate the speed in which we can go from causality to production level machine learning models. Your day to day will entail working with sales, success, marketing, and engineering to create a culture of experimentation. You will work with internal teams to analyze, refine, prioritize, and communicate business needs to ensure that the engineering and data science teams fully understand the project scope, objectives, and requirements of data science products and the results of the experiments. Responsibilities Collaborate with Product Management, business stakeholders, business analysts, data scientists, and other teams to define value-related study questions relevant to key stakeholders and provide subject matter expertise to our internal collaborators
Plan and deliver experiment framework requirements that can be integrated into software products and machine learning models Test the features build by the team and validate them Clearly document the bugs and work with the team to get them resolved Negotiate priority between consumer-facing features, requests, and technical needs Engage with development team to articulate requirements, project plans, and drive timely execution towards launch
Translate technical requirements into useful user stories for the team Clearly articulate acceptable criteria for each user story Present results of analysis to business stakeholders Be a thought leader for experimentation Document and communicate release plan and notes to the stakeholders in a continuous delivery/deployment environment
Clearly document, manage, and prioritize defects from multiple sources Pair with data engineers to triage issues and identify the root causes proactively Balance business requirements with technical feasibility and scalability Perform gap analysis of existing solutions and technology against requirements to determine where there is need for new or modified capabilities You will create and communicate requirements artifacts (e.g., user stories) that translate business needs into executable requirements that can be delivered by the data science team.
Minimum Qualifications Undergraduate degree in Economics, Statistics, biostatistics, or related discipline 0-2 years of experience in economic modeling Excellent English Skills (Verbal & Written): Advanced business writing skills; ability to produce clear and concise written English Ability to state things simply and persuasively for a variety of audiences - internal, external, business, and technical
Fantastic communicator, your success depends on your ability to forge relationships Self-starter who can come up to speed quickly on our platform, technologies, and processes Desire to be part of a very dynamic environment, with shifting priorities and ambiguity Preferred Qualifications
Experience with SQL and/or Python. Experience with agile software development Understand the business value of engineering decisions and how they affect the life cycle of the product Experience with Salesforce and integration of Salesforce with other systems Experience with Data Science and Machine Learning
Experience with common Product/Project Management tools (Aha!, JIRA) 2+ years of relevant experience in roles such as Quality Analyst, Jr. Product Manager, Business Analyst, or Project Manager for a technical product Experience programming in a source-controlled environment. Understanding of statistical tools for non-randomized comparisons. Familiarity with developing real-world evidence.

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
The Role

If you have ever dreamed of being the product owner of an innovative data product, then you will be excited about this role. Veeva Systems is seeking to hire a Product Manager for new and innovative datasets which are adding new features to our best-in-class solution for Life Science's reference data.

As the Product Manager for OpenData, you will be responsible for defining and establishing the roadmap, adapting the offering to the market, adding data sources, and working closely with the Customers and Veeva teams to bring your vision to life. You will ensure the new features meet customer needs and are implemented with speed, focus, and impeccable Veeva quality standards.

In this role, you will have the opportunity to work with a team of Life Sciences and technology A-players who are changing the way the industry thinks about data.

The ideal candidate blends traditional product management skills and an analytical mind with a passion for data - as well as a passion for solving complex problems with elegant, inventive data solutions.
What You'll DoProvide OpenData Product Excellence to new features across several European MarketsInteract with customers, services, market owners, and sales to understand business needs and serve as the subject matter expert Drive the strategic direction of the product and manage the product roadmap, enhancements, and releases Build new databases and processes that reflect Veeva quality standards Communicate OpenData product value to internal and external customers Support client-ready presentations, use cases, and value propositions Guide the data stewardship team to ensure data processing reaches the highest level of efficiency & excellence Work closely with the data engineering team to load and structure new data so that it matches customer requirements Work with external partners and data vendors to identify new data sources which can be utilized in the OpenData product spectrum
RequirementsDeep product management skills Strong analytical skills and attention to detail Strong written and verbal communication skills, including PowerPoint deck creation and presentation Collaborative team skills to innovate with cross-functional teams Technical skills to translate business requirements into terms developers can understand Hands-on experience with data Fluent in English Exposure to commercial data sets in Life Sciences2+ years working directly with reference and transactional data in the Life Sciences industry 2+ years hands-on Product Management experience Bachelor's Degree in Marketing, Product Management, Data Science, Business, Mathematics, Computer Science, or equivalent degree required
Nice to HaveWorking knowledge of SQL for data analysis Master's Degree in Marketing, Product Management, Data Science, Business, Mathematics, Computer Science, or equivalent degree required
#RemoteGermany

Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.