Data Product Manager - People Analytics and Insights

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.

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