We are seeking an experienced Senior Product Manager to lead the development and delivery of technical products that leverage cutting-edge technology to solve high-impact business challenges. The ideal candidate is highly data-driven, an exceptional communicator with strong executive presence, and comfortable navigating ambiguous and complex problems to deliver scalable, user-centric solutions.

Prioritize product features based on data-driven insights, customer feedback, business value, and technical feasibility.

Partner with cross-functional stakeholders to evaluate product performance and ensure quality standards are met.

Drive products through the complete lifecycle from concept and development to launch and continuous improvement .

Data Strategy & Governance

Define the roadmap for data warehousing, ETL pipelines, and business intelligence dashboards .

Partner with Data Engineering and Data Science teams to align data capabilities with product and business objectives.

Ensure data quality, reliability, and trustworthiness across products and analytical solutions.

Support compliance with data privacy and governance requirements .

Collaborate with legal, business, engineering,



and data teams on data strategy and governance.

Drive alignment across Engineering, Data Science, Operations, and Business teams .

Act as the primary bridge between technical teams and business units, ensuring technical feasibility aligns with commercial objectives.

Lead cross-functional teams to deliver scalable, high-quality technical products.

Bachelor's degree in Computer Science, Engineering , or a related technical field.

- MBA is preferred.
- 12+ years of experience in Product Management , with significant experience focused on technical, AI-driven, or data-centric products.
- Strong understanding of product strategy, roadmap planning, prioritization, and product lifecycle management.
- Robust analytical and data-driven decision-making skills.
- Experience with GCP or other cloud platforms.

Familiarity with MLOps and deploying machine learning models into production .

Experience working with AI/ML-driven products.

Knowledge of AI ethics, responsible AI, and data privacy .

Experience working closely with Data Science and Engineering teams.

📌 Senior Manager Product Planning (Secunderabad)
🏢 Aceolution
📍 Secunderabad