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