Staff, AI Product Manager-Orchestration and Automation

Overview

Own the Orchestration and Automation platform tower at GSK, covering low and medium code platforms where agents and automations are built, and the enablement model that lets non-engineers build safely.

What you'll do

• Own the roadmap and governance model for the Orchestration and Automation platform tower.
• Take consolidation decisions across the low and medium code platform estate, including Power Platform, Copilot Studio and n8n, and adjacent orchestration tooling.
• Build the self-enablement layer: guardrails, templates, training and support that let citizen developers build without engineering review on every change.
• Define what a citizen developer may build unsupervised.
• Act as the platform consultant for business teams, translating demand into working automations.
• Map capability against actual usage across the estate and recommend what consolidates, stays or retires.
• Build business cases quantifying cycle time saved, manual effort removed, licence cost avoided and automations in production.
• Maintain a living view of in-flight, queued and de-prioritized platform work with rationale for each decision.
• Recommend trade-offs between competing sponsor requests, define success metrics and run the analysis.
• Advise business teams and delivery squads on platform fit, build structure and the path to production.
• Define scope, success criteria, exit conditions and scaling pathways before engagements start.
• Decide which tasks the pod's AI agents and workers own, where engineers and business users stay in the loop, and how evaluation and oversight make that safe.
• Operate with VP-level business and scientific leaders, and build sponsor coalitions for data access, change management and air cover.
• Apply Enterprise AI's value-realization framework to every engagement and platform in the tower.

What you'll need

• 16+ years of progressive experience in enterprise platform leadership.
• A meaningful part of that experience owning a platform or platform estate end to end: roadmap, architecture direction, operations and lifecycle.
• Track record of taking a platform from fragmented or underused to well run, including consolidation calls, grown adoption and the operating model that sustained it.
• Experience running a platform in a regulated enterprise, with working knowledge of at least one part of the pharma value chain.
• Solid technical fluency in modern AI/ML, covering LLMs, agentic systems, AI agents and workers, and data and evaluation patterns.
• Experience leading engineers directly while also leading a far larger citizen developer community through influence, frameworks and quality of thinking.
• Platform product heritage: roadmap shaping, lifecycle and version management, vendor and licensing ownership, service levels and stakeholder alignment across a large and varied user base.
• Deep, hands-on Microsoft Power Platform experience (Power Apps, Power Automate and Dataverse at enterprise scale), including environment strategy, ALM, licensing and the governance model around them.

Nice to have

• Has owned a low or medium code automation platform at enterprise scale and run a citizen developer or self-service programme covering thousands of users, with guardrails that held under pressure.
• Fluent with the wider low and medium code agent and workflow stacks alongside Power Platform, such as Copilot Studio, n8n, and equivalents from major cloud vendors.

Details

• Location: Bengaluru Luxor North Tower.