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Job Overview

We are seeking an experienced SVP, Lead Analytics Product & Delivery Manager to lead the strategy, roadmap, and delivery of People Insights and Organizational Effectiveness products and platforms.

This leader will oversee a portfolio of analytics, reporting, decision-support, and AI-enabled products that support workforce planning, talent management, organizational effectiveness, employee experience, and executive decision-making.

The role requires a combination of product leadership, strategic thinking, analytical problem solving, stakeholder management, and AI product expertise. The successful candidate will lead a team of product managers while partnering across Data Science, Data Engineering, Technology, HR, and Control Functions to bring innovative and governed solutions from concept through enterprise adoption.

The ideal candidate can connect long-term product strategy with day-to-day execution, ensuring solutions deliver measurable business value while operating within Citi's governance, privacy, and control frameworks.

Key Responsibilities

Product Strategy and Portfolio Leadership

• Define and own the product strategy, vision, and multi-year roadmap for People Insights and Organizational Effectiveness products.
• Develop and maintain a prioritized portfolio of analytics, reporting, workforce intelligence, and AI-enabled solutions.
• Identify opportunities where data, analytics, machine learning, and Generative AI can improve workforce decisions and organizational effectiveness.
• Evaluate initiatives based on business value, feasibility, regulatory requirements, adoption potential, and strategic alignment.
• Establish product investment priorities and recommend resource allocation across initiatives.
• Drive alignment between business priorities, product strategy, technology investments, and delivery roadmaps.

Product Delivery and Execution

• Oversee the end-to-end lifecycle of analytics and AI products, from opportunity assessment and discovery through deployment and adoption.
• Partner with Data Engineering, Data Science, and Technology teams to ensure solutions meet scalability, reliability, security, and usability requirements.
• Establish product delivery standards, governance processes, and success measures across the portfolio.
• Ensure that products are supported by clear business requirements, use cases, KPIs, and adoption plans.
• Monitor product performance and business outcomes, making data-driven decisions regarding future enhancements and investments.
• Drive continuous improvement across product development and delivery practices.

AI and Analytics Product Innovation

• Lead the identification and development of AI-enabled product opportunities across People Insights and Organizational Effectiveness.
• Partner with Data Science teams to incorporate predictive analytics, machine learning, Generative AI, agentic workflows, and decision-support capabilities into products where appropriate.
• Guide build-versus-buy decisions for AI capabilities, platforms, and vendor solutions.
• Establish frameworks for measuring product effectiveness, business impact, user engagement, and AI performance.
• Promote responsible AI adoption while balancing innovation, control requirements, and business outcomes.
• Stay current on emerging trends in AI, workforce technology, analytics platforms, and digital product innovation.

Stakeholder and Executive Leadership

• Build strong relationships with senior leaders across HR, Technology, Risk, Compliance, and the businesses.
• Translate complex workforce and organizational challenges into actionable product strategies and delivery plans.
• Serve as the primary product partner for senior stakeholders seeking to leverage analytics and AI to solve business problems.
• Present product strategies, investment recommendations, portfolio updates, and business outcomes to executive audiences.
• Influence decisions across teams without direct authority and build alignment among diverse stakeholder groups.
• Drive product adoption through effective stakeholder engagement, communication, training, and change-management efforts.

Team Leadership and Talent Development

• Lead, coach, and develop a team of product managers responsible for analytics and AI-enabled products.
• Establish clear goals, accountability, and development plans for team members.
• Build product management capabilities across discovery, roadmap development, prioritization, stakeholder engagement, and product execution.
• Foster a culture of innovation, customer focus, collaboration, and continuous improvement.
• Promote best practices in product management, Agile delivery, experimentation, measurement, and user-centered design.

Governance, Risk, and Controls

• Ensure products comply with Citi's model risk, privacy, data governance, cybersecurity, and responsible AI standards.
• Partner with Legal, Compliance, Risk, Model Risk Management, and Technology teams throughout the product lifecycle.
• Ensure appropriate controls, monitoring, documentation, and governance processes are established prior to deployment.
• Maintain oversight of product risks, dependencies, regulatory considerations, and control requirements across the portfolio.

Required Qualifications

Leadership & Product Experience

• 10+ years of experience across product management, analytics, technology strategy, consulting, or related disciplines.
• Significant experience leading product teams and managing complex product portfolios within a large enterprise environment.
• Demonstrated success owning product strategy, roadmap development, and delivery of enterprise-scale solutions.
• Proven ability to influence senior executives and drive alignment across business, technology, and control organizations.
• Experience leading large cross-functional initiatives with measurable business outcomes.

Analytics & AI Expertise

• Strong understanding of analytics, data science, machine learning, and AI product development.
• Experience delivering analytics, data, or AI-enabled products from concept through deployment and adoption.
• Familiarity with Generative AI, Large Language Models, Retrieval-Augmented Generation, AI agents, and emerging AI technologies.
• Understanding of data engineering concepts, data platforms, APIs, enterprise architecture, and modern analytics ecosystems.
• Ability to evaluate technical approaches and translate business requirements into scalable product solutions.

Business and Problem-Solving Skills

• Exceptional problem-solving and structured thinking skills.
• Ability to break down complex and ambiguous challenges into practical, actionable solutions.
• Strong executive communication, storytelling, and presentation skills.
• Experience developing business cases, investment recommendations, and executive-ready decision materials.
• Proven ability to balance strategic vision with operational execution.

Preferred Qualifications

• MBA, Master's degree, or other advanced degree from a leading institution.
• Experience in management consulting, technology consulting, or digital transformation environments.
• Experience working in financial services or other highly regulated industries.
• Experience with workforce analytics, workforce planning, talent strategy, organizational effectiveness, or HR technology.
• Familiarity with Workday, people data ecosystems, and HR operating models.
• Exposure to model risk management, responsible AI governance, and enterprise AI deployment practices.

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Job Family Group:

Human Resources

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Job Family:

Talent, Development, Learning & Engagement

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Time Type:

Full time

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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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