Job Description

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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
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 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/.

Skills Required