Job Description:

- Own product delivery for the Enterprise data product, with clear accountability for scope, priorities, and business outcomes
- Work closely with business, technology, and downstream stakeholders to align requirements and drive execution
- Exhibit strong stakeholder management skills, with ability to manage expectations, resolve ambiguity, and bring teams to closure on priorities
- Translate business needs into well-structured, actionable requirements and ensure effective prioritization based on value, risk, and dependency
- Demonstrate strong data understanding and analytical capability, with hands-on proficiency in SQL and data analysis
- Apply structured problem-solving and critical thinking to break down complex issues, identify root causes, and support sound decision-making

Bring high attention to detail in requirement definition, data validation, issue analysis, and product backlog

Key Skills & Competencies

- Business Stakeholder Management (Strong): Ability to engage senior business stakeholders, manage expectations, align priorities, and drive decisions across multiple teams.
- Technical User Stories & UAT (Strong): Experience translating business requirements into well-defined user stories, acceptance criteria, and supporting end-to-end UAT execution.
- Data Product Understanding (Strong): Strong understanding of enterprise data products, data consumption patterns, KPIs, and business value realization.
- SQL (Strong): Hands-on proficiency in SQL for data analysis, validation, troubleshooting, and requirement discovery.
- Data Modeling (Medium):



Understanding of dimensional modeling concepts, including fact/dimension structures and analytical data design principles.
- Data Warehousing (Medium): Familiarity with enterprise data warehouse concepts, data lakes, and contemporary lakehouse architectures
- APIs & Integration (Medium-Strong): Understanding of API-driven integrations, data exchange mechanisms, and enterprise integration patterns.
- Power BI/Tableau (Medium): Ability to interpret dashboards, define reporting requirements, and work with visualization teams.
- Databricks/Snowflake/BigQuery (Medium): Exposure to modern data platforms and understanding of how enterprise data products are built and consumed.
- Cloud Platforms (Medium): Working knowledge of AWS, Azure, or GCP data and analytics services.
- Data Governance (Medium-Strong): Understanding of data quality, lineage, metadata, security, privacy, and governance principles.
- Agile Product Management (Strong): Experience managing backlogs, prioritization, sprint planning, and driving delivery in Agile environments.
- AI/GenAI Concepts (Preferred): Awareness of AI, GenAI, and Agentic AI concepts, with the ability to evaluate potential business applications and product opportunities.
- Business Stakeholder Management (Strong):



Ability to engage senior business stakeholders, manage expectations, align priorities, and drive decisions across multiple teams.
- Technical User Stories & UAT (Strong): Experience translating business requirements into well-defined user stories, acceptance criteria, and supporting end-to-end UAT execution.
- Data Product Understanding (Strong): Strong understanding of enterprise data products, data consumption patterns, KPIs, and business value realization.

Success Metrics

- Successfully own and deliver the enterprise data product roadmap aligned to business priorities.
- Establish strong alignment across business, technology, and downstream stakeholders.
- Drive high-quality backlog management, requirement clarity, and prioritization discipline.
- Demonstrate strong SQL and data analysis capability to validate requirements and support decision-making.
- Ensure timely resolution of dependencies, risks, and ambiguities impacting delivery.
- Improve stakeholder confidence through structured communication and predictable execution.
- Enable data-driven decision making through trusted, high-quality, and well-governed data products.
- Drive adoption and measurable business value realization from the data product.
- Maintain strong governance, controls, and compliance adherence expected in BFSI environments.
- Act as the bridge between business and engineering teams, ensuring outcomes are delivered with quality, scalability, and operational sustainability.
- BE/Btech/MBA is necessary

📌 Data product owner (Data Product Owner | Agile Product Management | St (Bengaluru)
🏢 Talworx Solutions
📍 Bengaluru