Data Strategy and Governance Lead

Hewlett Packard Enterprise; India; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a seasoned Finance Data Strategist to define and execute a comprehensive data strategy, establishing a trusted data foundation for AI, automation, and advanced analytics across the Finance organization.

You will lead governance, data policy, and the target architecture while partnering with IT and business leaders to enable standardization and measurable business value.

Qualifications

• Typically requires 10+ years of experience in Finance data strategy, architecture, governance, analytics, AI, automation, and enterprise transformation initiatives.

Responsibilities

• Define and execute the Finance Data Strategy to enable AI, automation, and advanced analytics.
• Establish governance to create trusted, standardized, and AI-ready data across Finance and partner functions.
• Build data literacy and drive adoption of governed data, analytics, and AI capabilities across a global Finance organization.
• Partner with IT and BI teams to govern Finance data policies, standards, ownership, and stewardship.
• Drive the Finance data governance operating model, including governance forums, decision-making, and accountability.

Skills

Data Strategy

Data Governance

Data Architecture

AI/ML

Stakeholder Management

Data Literacy

Education

10+ years experience in Finance data strategy/architecture

Tools

SQL

Python

Azure / AWS

Power BI

Databricks

Job description

Job Summary

Define and execute the Finance data strategy to establish a trusted enterprise data foundation that enables transformation, AI, automation, and advanced analytics. Lead data governance, quality, stewardship, standards, and business data architecture while enabling development of scalable data products, standardized KPIs, and enterprise data models. Partner across Finance, IT, and business functions to ensure trusted, accessible, and AI-ready data that accelerates decision-making and delivers measurable business value. The role will also be responsible to dive data literacy programs for finance users.

Responsibilities

• Define and maintain the Finance Data Strategy to enable AI, automation, and advanced analytics and roadmap aligned with Finance and enterprise transformation priorities.
• Establish governance to create trusted, standardized, and AI-ready data across Finance and partner functions
• Build data literacy and drive adoption of governed data, analytics, and AI capabilities across a global Finance organization
• Partner with IT and BI teams to establish and govern Finance data policies, standards, ownership, and stewardship to ensure trusted, consistent, and compliant data.
• Drive the Finance data governance operating model, including governance forums, decision-making, and accountability across functions.
• Define the target Finance data architecture, critical data domains, enterprise data models, and standardized business definitions.
• Prioritize strategic data capabilities and investments to enable AI, automation, analytics, and digital transformation.
• Establish data quality, metadata, lineage, and governance frameworks, monitoring adherence through appropriate governance mechanisms.
• Partner with Finance, IT, Enterprise Data, and business leaders to align data priorities, influence enterprise data strategy, and resolve cross-functional data challenges.
• Define governance metrics and oversee the maturity and adoption of Finance data capabilities, ensuring alignment with strategic business outcomes.

Education & Experience

• Recommended • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 10+ years of experience, preferably in Finance data strategy, architecture, governance, data quality, analytics, AI, automation, and enterprise transformation initiatives.

Knowledge & Skills

• Data Strategy
• Data Architecture, Policies & Standards
• Data Governance
• Data Governance Operating Model
• Data Stewardship & Ownership
• Data Quality Management
• Metadata Management
• Data Lineage
• Enterprise Data Models
• Data Domains & Business Definitions
• Data Cataloging
• Data Management
• AI-Ready Data
• Artificial Intelligence
• Generative AI
• Machine Learning
• Advanced Analytics
• Data Science
• Data Analysis
• Data Visualization
• Predictive Modeling
• Big Data
• Data Integration
• Data Pipelines
• SQL
• Python
• Cloud Data Platforms, such as Azure or AWS
• Microsoft Power BI
• Databricks
• Data Maturity & Capability Assessment

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Job - Data & Information Technology

Schedule - Full time Shift - No shift premium (India) Travel - Relocation

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