Technical Product Owner Ai/ml Or Cloud Or Data Platforms Fte Hiring

Important Notes Please share only those profiles who can join immediately or within 30 days Also please share only 3-4 profiles in a batch as we are not looking for bulk profiles instead we expect quality profiles to be shared with us for screening Proposed salary will be based on the interview feedback and the level candidates will get selected Base Locations Gurgaon Pune and Bengaluru hybrid setup Kindly ensure candidates are aware of this If any candidate s salary exceeds the defined salary bracket you can still share the profile with highlight Level Years of Experience Relevant Max CTC Manager 10-15 Years 30 LPA Senior Manager 15-20 Years 38 LPA Job Title Technical Product Owner AI ML or Cloud or Data Platforms Experience 10-15 Years Location Bengaluru Pune Gurgaon Employment Type Full-time Role Overview We are seeking a Technical Product Owner TPO who combines strategic business ownership with strong technical understanding of AI ML or data or cloud ecosystems You will define the vision roadmap and measurable outcomes for data-driven Cloud and AI-powered products while also owning the backlog technical decisions and delivery of platform capabilities This role demands an ability to bridge business strategy and engineering execution ensuring every technical initiative drives tangible business impact and adheres to enterprise standards Key Responsibilities A Business Product Ownership Strategic PO Responsibilities Define and communicate the product vision roadmap and business outcomes for AI ML Cloud or data platform initiatives Align the AI ML product strategy with organizational OKRs ROI goals and digital transformation objectives Partner with business leaders to translate high-level use cases e g personalization forecasting anomaly detection into actionable technical features Define value hypotheses track business KPIs and report impact on efficiency automation and customer experience Prioritize investments based on business value risk and readiness Champion Responsible AI and ethical data use as part of business governance B Tactical Technical Product Ownership Execution-Level Responsibilities Own the backlog including epics user stories data pipelines model lifecycle features and infrastructure capabilities Collaborate with data engineers ML engineers and cloud architects to design scalable solutions for data ingestion training and inference Define technical acceptance criteria for ML features APIs and pipelines Ensure strong alignment between data availability model readiness and deployment environments Partner with the MLOps team to standardize model deployment monitoring and retraining processes Contribute to architecture discussions data platform evolution and reusable component development Manage sprint ceremonies backlog grooming and release planning with engineering teams Track progress via technical KPIs e g model latency data quality SLAs deployment frequency Technical Environment Stack Awareness Domain Key Tools Platforms Cloud Platforms Azure ADF Synapse ML Studio AWS Glue Redshift SageMaker GCP BigQuery Vertex AI Data Engineering Databricks Apache Spark Airflow Kafka Delta Lake Snowflake MLOps Deployment MLflow Kubeflow Docker Kubernetes DVC GitHub Actions AI ML Frameworks Scikit-learn PyTorch TensorFlow Hugging Face conceptual GenAI LLM Ecosystem LangChain OpenAI API Vertex AI Azure OpenAI Pinecone FAISS Analytics BI Power BI Tableau Looker Governance Monitoring Data Catalog Lineage SHAP LIME Model Monitoring Qualifications Bachelor s or Master s degree in Computer Science Data Science or Engineering 10 years of experience in product ownership technical program management or AI ML delivery Strong knowledge of AI ML model lifecycle data pipelines and cloud-native architecture Proven ability to balance business priorities with technical feasibility Experience in Agile Scrum environments writing epics managing sprints and working with cross-functional teams Exposure to LLM GenAI data modernization or AI platform products preferred Certifications Preferred Certified Scrum Product Owner CSPO or Professional Scrum Product Owner PSPO Microsoft AWS GCP certifications in AI Data or Cloud Any recognized AI Product Management or Responsible AI certification Soft Skills Strong communication and stakeholder management able to engage with business engineering and data science leaders Analytical mindset capable of linking technical metrics to business KPIs Skilled in prioritization trade-off decisions and dependency management Growth mindset and adaptability to emerging AI technologies