Data Lead -148

Job Description & Summary:

What You’ll Do 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. What You’ll Bring • 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 modern 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.

Level: Manager

Location: bangalore

Skill: Power BI, SQL, Excel, and enterprise visualization tools,Azure, Snowflake, Databricks, Microsoft

Fabric, or modern cloud analytics platforms, enterprise data governance, master data management, and

data quality frameworks

Job Position Title: Data Lead

Responsibilities: What You’ll Do

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.

What You’ll Bring

• 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

modern 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.

Mandatory skill sets: • Power BI, SQL, Excel, and enterprise visualization tools,Azure,

Snowflake, Databricks, Microsoft Fabric, enterprise data governance,

master data management, and data quality frameworks

Good To Have skill sets: • Business-First Mindset: Solves business problems through data, not just

reporting. , • Strategic Thinker: Connects data across operations, finance,

workforce, and business performance. , • Trusted Advisor: Delivers

objective, insight-driven recommendations that influence executive

decisions. , • Builder Mindset: Creates scalable data, governance, and

reporting capabilities that endure. , • Analytical Curiosity: Challenges

assumptions and uncovers meaningful insights from complex data. , •

Executive Storyteller: Translates complex analysis into clear,

decision-ready narratives. , • Collaborative Influencer: Aligns business and

technical teams around common goals and standards. , • Innovation-Driven:

Leverages AI and modern analytics to continuously improve business

intelligence and decision-making.

Years of experience required: 10-15 years

Education qualification: BTECH