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.

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.
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MOST RELEVANT SKILLS

Please see the requirements listed above.
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OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.
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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.