Sr Mgr - Business Intelligence

Overview

Senior Manager, Business Intelligence provides strategic leadership for enterprise reporting and analytics, setting the vision for KPI governance, data products, and self-service analytics, and leading managers and senior individual contributors to deliver measurable business impact.

What you'll do

• Define the enterprise BI strategy, operating model, and multi-quarter roadmap aligned to business priorities and data platform direction.
• Lead and develop BI leaders, building a high-performing team and healthy talent pipeline.
• Partner with the PEX/S2C/SMS GPO organizations to establish enterprise KPI governance, standard metric definitions, and reporting hierarchies.
• Establish and enforce responsible AI governance for BI, including policies, approval workflows, model/tool standards, validation and monitoring expectations.
• Partner with Data Management to deliver scalable, governed data products leveraging Databricks and enterprise data platforms.
• Drive adoption of self-service analytics through semantic models, enablement, and clear documentation.
• Set the strategy for AI-enabled self-service and conversational analytics (natural language to governed metrics), aligned to the semantic layer, KPI governance, and adoption goals.
• Oversee design standards and user experience of Tableau/Power BI solutions and conversational business intelligence, ensuring persona-based insights and consistent visual language.
• Create performance management and service-level expectations for BI delivery (quality, timeliness, uptime, and stakeholder satisfaction).
• Manage budget, vendor/partner relationships, and tool strategy as applicable; evaluate and implement capabilities to improve efficiency and governance.

What you'll need

• Bachelor's degree in Information Systems, Computer Science, Business Analytics, Statistics, or a related field.
• 10+ years of experience in business intelligence, analytics, and/or data engineering, including enterprise-scale BI delivery.
• 5+ years of leadership experience, including managing managers and leading cross-functional initiatives.
• Strong understanding of data platform patterns, data modeling, and governance, including experience with Databricks.
• Expertise in Tableau and/or Power BI at an enterprise level (architecture, standards, performance, security, and adoption).
• Proven ability to align executives and stakeholders to a shared measurement framework and to communicate complex insights clearly.
• Demonstrated procurement domain expertise, including partnering with S2C/P2P process owners to standardize KPI definitions, reporting hierarchies, and measurement governance.
• Understanding of procurement controls and compliance expectations (e.g., auditability, access controls, segregation of duties) and how they influence analytics design and distribution.
• Proven ability to lead responsible adoption of AI-assisted analytics and data management (including Generative AI) by setting guardrails, governance, and validation standards.

Nice to have

• Master's degree.
• Experience designing and implementing enterprise semantic layers (e.g., tabular models) and standardized KPI hierarchies.
• Demonstrated success building self-service analytics programs, including training, community of practice, and governance.
• Experience with data quality frameworks (testing, monitoring, and SLAs) and analytics product management practices.
• Demonstrated AI and agentic model building for business intelligence and insights.
• Familiarity with privacy, regulatory, and security requirements impacting analytics (role-based access, row-level security, and auditing).

Details

• Location: Bangalore, Karnataka, India.