Data Product Owner

Greetings from CAI Inc.,

Please find the attached JD and the company details below:

Overview

CAI is a global technology services firm with over 9,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do whats right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Website

https://www.cai.io/

Job Description
We are looking for a Senior AI Data Product Owner to lead the strategy, governance, productization, and operational excellence of AI-ready data products that enable scalable and reliable AI solutions across the enterprise. This position will be full-time and hybrid in Bengaluru.

What You’ll Do

• Own the AI data product roadmap and translate business priorities into a sequenced backlog of reusable data products with defined ownership, service levels, and lifecycle controls
• Partner with dashboard, analytics, and AI delivery teams to identify reporting assets that should evolve into governed AI-ready data products
• Establish data product charters defining purpose, consumers, source ownership, data contracts, access models, and retention requirements
• Implement table-, column-, and row-level access standards, classification, audit trails, and data handling controls using Databricks Unity Catalog and AWS services
• Lead the design and operation of incremental, observable, and cost-efficient data ingestion and curation pipelines across enterprise data sources
• Create and maintain versioned, reproducible training datasets, evaluation datasets, inference inputs, feature tables, and monitoring datasets with clear metadata and documentation
• Define and implement AI-specific data quality standards including completeness, consistency, timeliness, uniqueness, referential integrity, distribution stability, and drift sensitivity
• Establish automated quality controls and enforce readiness gates that prevent model training, deployment, or production promotion when critical data quality requirements are not met
• Develop operational runbooks for recovery, backfills, reprocessing, incident response, and escalation management
• Participate in operational reviews and drive root-cause analysis and corrective actions to improve platform reliability
• Optimize storage, compute utilization, partitioning, scheduling, and overall platform cost efficiency
• Approve data readiness gates for model training, evaluation, deployment, and significant production inference input changes
• Escalate data ownership, quality, access, and cost issues that introduce risk or impede business outcomes
• Drive dashboard-to-data-product transformations and establish governed, reusable data products that support critical AI use cases
• Deliver quality and cost scorecards that provide transparency into data health, reliability, usage, and platform cost drivers

What You’ll Need

Required:

• Bachelor’s degree or higher in Computer Science, Data Science, AI/ML, Applied Mathematics, Engineering, or a related field
• 8+ years of experience in data engineering, data management, AI data foundations, or related technology leadership roles
• Demonstrated ownership of data products or mission-critical data pipelines delivering measurable business impact
• Hands-on experience with AWS, Databricks, Delta Lake, Unity Catalog, data lineage, observability, and production support
• Experience defining and managing data contracts, quality gates, service levels, and data access models
• Strong stakeholder management skills with experience partnering across business leaders, product owners, data and AI engineering teams, security, and platform organizations
• Ability to operate at a senior level, challenge incomplete requirements, evaluate trade-offs, and drive decisions in ambiguous environments
• Strong communication skills with the ability to simplify complex technical concepts for business stakeholders
• Proven ownership mindset with accountability for business and technical outcomes
• Strong judgment balancing speed, quality, security, cost, and maintainability
• Excellent problem-solving skills and ability to adapt in fast-paced, evolving environments
• Commitment to data quality, operational excellence, documentation, and continuous improvement

Preferred:

• Databricks Data Engineer Professional certification
• Databricks Machine Learning Professional certification
• AWS Certified Data Analytics certification
• AWS Solutions Architect Associate certification
• AWS Solutions Architect Professional certification
• Data governance, data management, product ownership, or agile delivery certifications

Mary Olivia | Talent Acquisition Team Lead

[email removed]

www.cai.io |