In the Global Assessments & People Analytics & Insights group at Citigroup, we solve business problems with workforce and business data. We conduct analyses to enable evidence-based decision making. We use statistical models to predict future outcomes. We provide actionable insights. Our mission is to equip decision makers with data-driven insights through analytics to make the best decisions about people - individuals, teams and organizations—to drive business performance.
About the role:
This role will bridge the gap between technical data science teams, business stakeholders, and enterprise data consumers to drive impactful decision-making through scalable, user-centric data products. You will own the lifecycle of internal data tools, regulatory dashboards, and advanced analytics products that support workforce planning, talent insights, and organizational health monitoring.
The Lead Data Product Manager will be responsible for:
- Define and drive the data product vision, strategy, and roadmap in alignment with business priorities across HR, compliance, and leadership teams.
- Manage a portfolio of internal data and AI products—from concept through launch and iteration—focusing on usability, scalability, and adoption.
- Partner with cross-functional teams including Data Science, Engineering, HR stakeholders, and Risk/Compliance to translate business needs into high-impact solutions.
- Develop and maintain product documentation, use cases, and KPIs to measure effectiveness and ensure product success.
- Champion a product mindset within the data function, ensuring a balance of technical feasibility, business value, and regulatory compliance.
- Lead and mentor a team of product managers and analysts, fostering a culture of innovation, ownership, and customer focus.
- Manage stakeholder communications, demos, and training to ensure smooth adoption and value realization across the organization.
- Stay ahead of emerging trends in data, AI, and workforce technology to continuously evolve product offerings.
Qualifications:
- 10+ years of experience in product management, data analytics, or technology strategy; at least 3 years in a leadership role.
- Proven track record of launching 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
- Exceptional stakeholder management and communication skills; able to influence and align across all levels of the organization.
- Experience leading 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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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Data/Information Management------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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