Senior Product Manager - Data/Analytics & AI/ML

Hiring: Product Manager - Data, Analytics & AI/ML

Experience: 9 - 12 Years

Open Positions: 2

Locations: Hyderabad, Pune, Bengaluru

Work Mode: Hybrid (8 days per month from office)

Role Overview:

We are looking for experienced Product Managers to drive the vision, strategy, and roadmap for enterprise data, analytics, and AI/ML platforms. The ideal candidate should have strong experience in product/program management, enterprise-scale technology initiatives, and cross-functional stakeholder management.

Key Responsibilities:

- Define and own product vision, strategy, and roadmap for enterprise data, analytics, and AI platforms.

- Collaborate with business, engineering, data science, and architecture teams to identify and prioritize high-impact use cases.

- Lead cross-functional teams across data engineering, analytics, AI/ML, security, and business functions.

- Drive end-to-end execution of product initiatives, ensuring timely delivery within scope, quality, and budget.

- Manage dependencies, risks, and issue resolution across multiple workstreams.

- Ensure alignment with enterprise architecture, data governance, security, and compliance frameworks.

- Drive adoption of enterprise data platforms, analytics solutions, and AI/ML capabilities.

- Define and track product KPIs, including adoption, usage, performance, data quality, and business value realization.

- Manage senior stakeholder engagement and executive communication.

- Drive change management, onboarding, training, and rollout strategies.

- Optimize platform cost, performance, scalability, and reliability.

- Drive license governance, usage monitoring, cost management, and ROI realization.

Required Skills & Qualifications:

- Bachelor's degree in Engineering, Computer Science, Information Systems, or a related field.

- 9 - 12 years of experience in Product Management, Program Management, or Delivery Leadership.

- Strong experience in one or more of the following domains:

1. Data Engineering

2. Enterprise Analytics Platforms

3. AI/ML Solutions

4. Advanced Analytics

- Proven experience managing complex, cross-functional, enterprise-scale programs.

- Strong understanding of Software Development Life Cycle (SDLC).

- Knowledge of enterprise architecture and architecture governance/review processes.

- Excellent stakeholder management, communication, and leadership skills.

Interview Process:

- AI Interview

- Technical/Leadership Panel Interview

- Final Panel Interview

Interested candidates can share their updated CV along with current CTC, expected CTC, notice period, and preferred location.