Senior Manager, Business Intelligence

Overview

Senior Manager, AI Transformation in the Enterprise Platform Solutions department, hybrid, reporting to the Senior Director, AI Transformation Strategy & Outcomes. Leads an enterprise AI program to enable safe, scaled adoption of AI applications and agents.

What you'll do

• Own a portfolio of enterprise AI products, programs, and operating-model workstreams end to end, establishing roadmaps, KPIs, and measured business ROI
• Manage ranked intake and product roadmaps for enterprise AI platforms, including AI assistants, collaboration tools, MCP connectors, and autonomous agent frameworks
• Map strategic business initiatives to supporting architectures, proactively identifying duplicate builds and scaling reusable skills and connectors across business functions
• Design and execute cross-functional engagement models, operating rhythms, RACIs, and standard operating procedures to streamline the path from idea to production
• Partner with Change Management and enablement teams to establish executive scorecards, measure adoption and value metrics, and drive widespread hands-on AI fluency

What you'll need

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• Hands-on fluency and active daily use of generative AI and agentic tools, including LLM assistants, agent platforms, MCP integration patterns, and prompt or workflow design
• 8+ years of experience across product management, technical program management, strategy, transformation, or management consulting
• 3+ years of dedicated experience delivering AI, data, automation, or enterprise platform initiatives
• Proven track record of translating ambiguous, complex business challenges into structured roadmaps, operating models, and quantified outcomes
• Strong executive communication and presentation skills, with proven ability to craft executive one-pagers, facilitate steering committees, and articulate prioritization decisions to senior leadership
• Demonstrated ability to influence and partner effectively across cross-functional teams, including Information Technology, Sales, Marketing, and Customer Success, without formal authority

Nice to have

• Proven ability to leverage AI technologies and workflows to drive operational efficiency, backed by exposure to how AI agents or models are built
• Experience standing up or leading an enterprise AI Center of Excellence, incubator, or enterprise AI governance program
• Prior experience within a fast-paced enterprise SaaS or cybersecurity company, particularly supporting Go-To-Market systems and customer lifecycle programs
• Strong background in enterprise architecture, data governance, semantic layers, or platform reuse, paired with organizational change management or enablement program design for large-scale technology transformations

Details

• Location: Bangalore, India; Pune, India
• Hybrid work mode