Job Title: Technical Product Owner ? AI/ML, Cloud & Data Platforms

Experience: 10?15 Years
Location: Bengaluru / Pune / Gurgaon

Role Overview

We are looking for an experienced Technical Product Owner (TPO) who can effectively combine business product ownership with strong technical expertise in AI/ML, Data, and Cloud ecosystems.

In this role, you will be responsible for defining product vision, strategy, roadmap, and measurable business outcomes for AI-powered, cloud-native, and data-driven platforms. You will work closely with business stakeholders, architects, data engineers, ML engineers, and delivery teams to ensure seamless execution from concept to deployment.

The ideal candidate will be capable of bridging business objectives and engineering execution while ensuring that every initiative delivers tangible business value and aligns with enterprise standards.

Key ResponsibilitiesStrategic Product Ownership

- Define and communicate product vision, roadmap, and business outcomes for AI/ML, Cloud, and Data Platform initiatives.
- Align product strategy with organizational goals, digital transformation programs, OKRs, and ROI objectives.
- Collaborate with business leaders to translate strategic use cases into scalable technical solutions.
- Establish value hypotheses and track business KPIs related to efficiency, automation, customer experience, and product adoption.
- Prioritize product investments based on business value, risk assessment, and technical readiness.
- Drive Responsible AI adoption and ensure ethical use of data and AI technologies.

Technical Product Ownership & Delivery

- Own and manage the product backlog, including epics, user stories, data pipelines,



platform capabilities, and AI/ML lifecycle features.
- Work closely with Data Engineers, ML Engineers, Architects, and Cloud Teams to design and deliver scalable solutions.
- Define technical acceptance criteria for APIs, ML solutions, data pipelines, and platform enhancements.
- Ensure alignment between data readiness, model development, deployment environments, and business priorities.
- Collaborate with MLOps teams to standardize deployment, monitoring, validation, and retraining processes.
- Participate in architecture reviews and contribute to platform modernization and reusable framework development.
- Lead sprint planning, backlog grooming, release planning, and stakeholder reviews.
- Monitor and improve technical KPIs such as model performance, data quality, deployment frequency, and platform reliability.

Technical Skills & Platform ExpertiseCloud Platforms

- Microsoft Azure (ADF, Synapse Analytics, Azure ML Studio)
- AWS (Glue, Redshift, SageMaker)
- Google Cloud Platform (BigQuery, Vertex AI)

Data Engineering

- Databricks
- Apache Spark
- Airflow
- Kafka
- Delta Lake
- Snowflake

MLOps & Platform Engineering

- MLflow
- Kubeflow
- Docker
- Kubernetes
- DVC
- GitHub Actions

AI/ML & GenAI

- Scikit-learn
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- OpenAI APIs




- Azure OpenAI
- Vertex AI
- Pinecone
- FAISS

Analytics & Visualization

- Power BI
- Tableau
- Looker

Governance & Monitoring

- Data Catalog
- Data Lineage
- Model Monitoring
- SHAP
- LIME

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
- 10+ years of experience in Product Ownership, Product Management, Technical Program Management, or AI/ML platform delivery.
- Strong knowledge of AI/ML lifecycle management, data engineering, data platforms, and cloud-native architectures.
- Proven ability to balance business priorities with technical feasibility and execution.
- Hands-on experience working in Agile/Scrum environments, managing epics, user stories, and sprint planning.
- Exposure to GenAI, LLM-based solutions, AI platforms, or Data Modernization initiatives is highly desirable.

Preferred Certifications

- Certified Scrum Product Owner (CSPO)
- Professional Scrum Product Owner (PSPO)
- SAFe Product Owner / Product Manager
- Microsoft Azure Certifications
- AWS Certifications
- Google Cloud Certifications
- AI Product Management Certifications
- Responsible AI Certifications

Key Competencies

- Strong stakeholder management and communication skills.
- Ability to collaborate with business leaders, architects, engineering, and data science teams.
- Analytical mindset with a focus on business outcomes and measurable KPIs.
- Solid prioritization, decision-making, and dependency management capabilities.
- Adaptability and passion for emerging AI, Cloud, and Data technologies.

📌 PRODUCT MANAGER - Product Management (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru