Data Product Owner (Data SME)
Position: Data Product Owner (Data SME)
Experience: Senior-Level (Previous MNC Experience Required)
Location: Gurugram (Onsite)
Employment Type: Full-Time
About KKINSUGI
KKINSUGI is a leading technology solutions and consulting organization focused on enabling digital transformation, data modernization, cloud adoption, AI innovation, and enterprise technology solutions. We partner with global enterprises to build scalable, future-ready digital ecosystems that drive business growth and operational excellence.
We are seeking an experienced Data Product Owner (Data SME) to lead strategic data and API transformation initiatives across multiple business functions and regional markets. This role requires a strong blend of product ownership, data architecture expertise, stakeholder management, and emerging AI capabilities.
Role Overview
The Data Product Owner will be responsible for defining, designing, and delivering enterprise-scale data products, data platforms, and API-driven ecosystems. The ideal candidate will act as the bridge between business stakeholders and technology teams, ensuring data initiatives align with organizational objectives, governance standards, and digital transformation goals.
This role involves ownership of data strategy, Data Lake/Lakehouse implementations, API architecture, enterprise integrations, Agentic AI initiatives, and customer-centric data solutions.
Key ResponsibilitiesProduct Ownership & Strategy
- Define and own the roadmap for enterprise data products and API platforms.
- Gather business requirements and translate them into scalable technical solutions.
- Drive prioritization of product backlogs and ensure alignment with business goals.
- Collaborate with leadership teams to establish long-term data and analytics strategies.
- Act as the primary liaison between business stakeholders, technology teams, and external vendors.
Data Platform Architecture & Delivery
- Lead the design and implementation of enterprise Data Lake and Lakehouse architectures.
- Define scalable data models, metadata frameworks, and data integration strategies.
- Oversee ETL/ELT pipelines for structured and unstructured data processing.
- Establish best practices for data quality, lineage, governance, and security.
- Ensure enterprise-wide data accessibility and consistency.
API Strategy & Architecture
- Design and manage enterprise-grade API ecosystems.
- Define RESTful and GraphQL API standards and governance.
- Develop API gateway strategies including:
- Authentication & Authorization
- Rate Limiting
- API Versioning
- Security Frameworks
- Monitoring & Analytics
- Enable real-time and event-driven data exchange across applications and platforms.
- Drive API lifecycle management and developer experience improvements.
Data Integration & Modernization
- Design scalable integration patterns across enterprise systems.
- Enable seamless connectivity between cloud, on-premises, and third-party platforms.
- Implement event-driven architectures using modern integration frameworks.
- Support enterprise modernization and digital transformation programs.
Agentic AI & Innovation
- Design and implement Agentic AI workflows and autonomous AI agents.
- Identify opportunities to leverage Generative AI and Agentic AI for business process automation.
- Integrate AI-driven decision-making capabilities into data products.
- Drive innovation initiatives focused on improving delivery efficiency and business outcomes.
Customer 360 & Data Intelligence
- Design customer-centric data frameworks.
- Support Customer 360 initiatives by integrating customer data across systems.
- Enable advanced analytics, personalization, and customer insights.
- Collaborate with marketing, sales, and customer success teams to maximize data value.
Governance, Risk & Compliance
- Establish and enforce data governance standards.
- Ensure compliance with organizational, industry, and regulatory requirements.
- Define policies for data privacy, security, and retention.
- Manage risk assessments related to data platforms and APIs.
Stakeholder Management
- Engage senior business leaders to understand strategic priorities.
- Present architecture recommendations and product roadmaps.
- Coordinate cross-functional teams across multiple geographies.
- Drive successful project execution through Agile methodologies.
Required Skills & ExpertiseData Management
- Data Lake Architecture
- Lakehouse Architecture
- Data Modeling
- Master Data Management (MDM)
- Data Governance
- Metadata Management
- Data Quality Frameworks
- Data Integration
Data Engineering
- ETL / ELT Design
- Data Warehousing
- Real-Time Data Processing
- Batch Processing
- Data Pipelines
API Technologies
- REST APIs
- GraphQL
- API Gateway Solutions
- API Security
- Authentication & Authorization
- OAuth 2.0
- OpenID Connect
- API Versioning
- Rate Limiting
Cloud Technologies
- AWS Cloud Services
- Data Analytics Services
- Storage Services
- Serverless Architectures
- Cloud Security
Integration & Architecture
- Enterprise Integration Patterns
- Event-Driven Architecture
- Microservices Architecture
- Distributed Systems Design
AI & Emerging Technologies
- Generative AI
- Agentic AI
- AI Workflow Automation
- LLM Integrations
- AI Governance
Delivery & Leadership
- Agile/Scrum Methodologies
- Product Ownership
- Program Management
- Stakeholder Management
- Vendor Management
- Risk Management
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or related field.
- PMP, Scrum Product Owner, Agile, AWS, or Data-related certifications preferred.
- Experience working with multinational organizations.
- Strong understanding of enterprise-scale data transformation programs.
- Exposure to Customer 360 implementations.
- Experience leading large cross-functional teams and global stakeholders.
Experience Required
- 10+ years of overall experience in Data, Analytics, Integration, or Product Management.
- 5+ years in Data Product Ownership or Data Program Leadership roles.
- Proven experience designing enterprise data platforms and API ecosystems.
- Experience delivering cloud-based data solutions on AWS.
- Hands-on involvement in data modernization and digital transformation initiatives.
What Success Looks Like
- Successful delivery of enterprise data and API programs.
- Increased business value through scalable data products.
- Improved data accessibility, quality, and governance.
- Efficient implementation of Agentic AI-driven solutions.
- Enhanced stakeholder satisfaction and business outcomes.
- Strong adoption of enterprise data and API standards.
How to Apply
Interested candidates can share their updated resume along with the following details:
- Current CTC
- Expected CTC
- Notice Period
- Current Location
- Availability for Discussion
Email: [email protected]
Or DM me directly for more details about the opportunity.
Subject Line: Application – Data Product Owner (Data SME) – Gurugram
We look forward to connecting with experienced professionals passionate about Data Strategy, API Architecture, Cloud Technologies, and AI-driven innovation.
Pay: ₹50,000.00 - ₹70,000.00 per year
Work Location: Remote
