Role & responsibilities

Develop Enterprise Data Strategy

- Define and execute the enterprise data strategy supporting portfolio governance, business intelligence and executive decision-making.

- Build a scalable data architecture that integrates information from multiple sources into a trusted reporting ecosystem.

- Standardize business definitions, KPI methodologies, and data governance across functions.

Build Portfolio Intelligence

- Develop portfolio intelligence frameworks, executive dashboards, and scorecards providing visibility into strategic initiatives, financial performance, resource utilization, risks, dependencies, and business outcomes.

- Establish leading indicators that proactively identify execution risks and opportunities.

Lead Data Governance

- Define enterprise data governance standards covering ownership, quality, integrity, stewardship, lifecycle management, and reporting controls.

- Continuously improve data quality and governance practices to ensure trusted executive reporting.

Enable Workforce and Resource Intelligence

- Build analytical models for workforce planning, capacity forecasting, demand management, resource allocation, utilization, and operational efficiency.

- Partner with PMO, and program manager to optimize workforce investments and support strategic planning.

Drive Executive Decision Support

- Translate complex business data into actionable executive insights that support portfolio prioritization, investment decisions, and operational planning.

- Identify trends, risks, dependencies, bottlenecks, and opportunities, providing recommendations that enable proactive decision-making.

Partner Across the Enterprise

- Collaborate with Strategy, Finance, Operations, Technology, Product,



Resource Management, and Program teams to align enterprise reporting, analytics, and business metrics.

- Serve as the strategic data partner supporting executive governance and cross-functional decision making.

Advance Analytics and AI

- Partner with data science and engineering teams to develop predictive analytics, forecasting models, scenario planning, and AI enabled insights.

- Evaluate emerging analytics technologies and promote modern data practices that strengthen business intelligence.

Modernize Reporting and Analytics

- Design scalable reporting architectures that automate reporting, enable self-service analytics, and improve executive visibility.

- Standardize dashboards, reporting methodologies, and visualization practices to ensure consistency, accuracy, and timeliness.

Build Organizational Data Capability

- Establish repeatable governance frameworks, metadata standards, reporting templates, and documentation that improve organizational data maturity.

- Mentor analysts and promote a culture of data-driven decision making across the organization.

Preferred candidate profile

- 10+ years of progressive experience in Data Strategy, Business Intelligence, Analytics, Business Operations, Portfolio Management, Data Governance, or Management Consulting within a global technology or SaaS organization.





- Bachelor's degree in Engineering, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, Economics, or a related discipline; Master's degree or MBA preferred.

- Proven experience designing enterprise reporting architectures, executive dashboards, and business intelligence solutions.

- Strong expertise in enterprise data governance, master data management, and data quality frameworks.

- Experience supporting executive decision-making through advanced analytics and strategic reporting.

- Demonstrated success working with Director, VP, and Executive-level stakeholders.

- Strong understanding of portfolio management, workforce planning, resource management, financial reporting, and business operations.

- Experience with Azure, Snowflake, Databricks, Microsoft Fabric, or up-to-date cloud analytics platforms.

- Advanced expertise in Power BI, SQL, Excel, and enterprise visualization tools.

- Experience working with enterprise platforms such as Salesforce, Workday, SAP, Oracle, Microsoft Dynamics, ServiceNow, Anaplan, or similar business systems.

- Experience collaborating with Data Engineering and Data Science teams to deliver scalable analytics solutions.

- Working knowledge of AI-powered analytics, predictive modeling, and modern business intelligence platforms.

- Strong commercial acumen with the ability to translate data into strategic business recommendations.

- Excellent executive communication skills with the ability to simplify complex analytical concepts for senior business leaders.

- Experience leading cross-functional analytical initiatives within highly matrixed organizations.

📌 Data Lead (Bengaluru)
🏢 VML ES
📍 Bengaluru