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 cutting-edge 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

- Solid 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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📌 Lead Analytics Product & Delivery Manager - Senior Vice President (India)
🏢 12542 Citicorp Services India Private
📍 India