In the Global Assessments & People Analytics & Insights group at Citigroup, we use workforce and business data to solve business problems. We conduct analyses to drive evidence-based decisions, utilize statistical models for predictive insights, and provide actionable intelligence. Our mission is to empower decision-makers with data-driven insights to optimize decisions regarding people—individuals, teams, and organizations—ultimately enhancing business performance. **About the Role:** This role bridges the gap between data science teams, business stakeholders, and enterprise data consumers, facilitating impactful decision-making through user-centric, scalable data products. You will own the lifecycle of internal data tools, regulatory dashboards, and advanced analytics products supporting workforce planning, talent insights, and organizational health monitoring. **Responsibilities:** + Define and contribute to the data product vision, strategy, and roadmap, aligning with business priorities across HR, compliance, and leadership teams. + Manage a portfolio of internal data and AI products—from concept to launch and iteration—prioritizing usability, scalability, and adoption. + Collaborate with cross-functional teams (Data Science, Engineering, HR, Risk/Compliance) to translate business needs into impactful solutions. + Develop and maintain product documentation, use cases, and KPIs to measure effectiveness and ensure product success. + Advocate for a product-focused approach within the data function, balancing technical feasibility, business value, and regulatory compliance. + Manage stakeholder communications, demos, and training, ensuring smooth adoption and value realization. + Stay informed about emerging trends in data, AI, and workforce technology to continuously evolve product offerings. **Qualifications:** + 5+ years of experience in product management, data analytics, or technology strategy. + Proven track record of contributing to successful internal or B2B data products, preferably in enterprise or regulated environments. + Strong understanding of data governance, user experience, and AI/ML product development lifecycle. + Strong analytical skills related to working with unstructured datasets. + Excellent stakeholder management and communication skills, with the ability to influence and align across organizational levels. + Experience collaborating with cross-functional teams, including data scientists, engineers, and business partners. + Familiarity with people data, HR systems (e.g., Workday, SuccessFactors), and regulatory frameworks is a plus. + Bachelor's degree in a quantitative field or business; MBA or equivalent advanced degree preferred. ------------------------------------------------------ **Job Family Group:** Decision Management ------------------------------------------------------ **Job Family:** Data/Information Management ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.