Technical Product Owner Should have experience either on AIDataCloud and should not be a generic product owner as we are looking for Technical Product Owner AIML or Data or Cloud Platform Location Pan India Remote Shift 2nd Shift 12 PM 1PM or 2 PM Job Title Technical Product Owner AIML or Cloud or Data Platforms Experience 1015 Years Location Bengaluru Pune Gurgaon Employment Type Fulltime Role Overview We are seeking a Technical Product Owner TPO who combines strategic business ownership with strong technical understanding of AIML or data or cloud ecosystems You will define the vision roadmap and measurable outcomes for datadriven Cloud and AIpowered 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 AIML Cloud or data platform initiatives Align the AIML product strategy with organizational OKRs ROI goals and digital transformation objectives Partner with business leaders to translate highlevel use cases eg 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 ExecutionLevel 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 eg model latency data quality SLAs deployment frequency Technical Environment Stack Awareness DomainKey Tools Platforms Cloud PlatformsAzure ADF Synapse ML Studio AWS Glue Redshift SageMaker GCP BigQuery Vertex AI Data EngineeringDatabricks Apache Spark Airflow Kafka Delta Lake Snowflake MLOps DeploymentMLflow Kubeflow Docker Kubernetes DVC GitHub Actions AIML FrameworksScikitlearn PyTorch TensorFlow Hugging Face conceptual GenAI LLM EcosystemLangChain OpenAI API Vertex AI Azure OpenAI Pinecone FAISS Analytics BIPower BI Tableau Looker Governance MonitoringData Catalog Lineage SHAP LIME Model Monitoring Qualifications Bachelors or Masters degree in Computer Science Data Science or Engineering 10 years of experience in product ownership technical program management or AIML delivery Strong knowledge of AIML model lifecycle data pipelines and cloudnative architecture Proven ability to balance business priorities with technical feasibility Experience in Agile Scrum environments writing epics managing sprints and working with crossfunctional teams Exposure to LLMGenAI 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 Robust 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 tradeoff decisions and dependency management Growth mindset and adaptability to emerging AI technologies Skills Mandatory Skills Project Planning About Company LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models accelerate innovation and maximize growth by harnessing digital technologies As a digital transformation partner to more than 700 clients LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation customer experiences and business outcomes in a converging world Powered by 87 000 talented and entrepreneurial professionals across more than 40 countries LTIMindtree a Larsen Toubro Group company solves the most complex business challenges and delivers transformation at scale For more information please visit https www ltimindtree com