Senior Project Manager - P&C AI & Data

This Senior Project Manager reports directly to the VP of AI & Data (day-to-day with the Head of People Analytics & AI) and works across P&C, IT, Enterprise AI, Information Security and technology partners. The role is open because the portfolio has grown faster than our delivery capacity: concurrent Visier product launches (HRBP, Manager Scorecard, Executive dashboards, Performance), a Tableau migration, and six AI agent domains under the Big Rock 2 program all need one accountable execution partner.




This is not a traditional task-tracking PM role. We need a strategic execution partner who brings structure to ambiguity, removes obstacles, connects cross-functional teams and ensures investments translate into measurable business outcomes - someone who can turn a roadmap into dated, owned, de-risked delivery.

Responsibilities:

1. Drive AI & People Analytics program execution: own integrated project plans, milestones, dependencies, risks and deliverables across the portfolio; translate strategic priorities into execution plans with clear ownership, timelines and measurable outcomes; run disciplined rhythms - working sessions, status reviews, decision logs and leadership updates; proactively resolve cross-functional blockers and escalate decisions with recommendations.
2. Lead the People Analytics platform transformation: program-manage the rollout and adoption of Visier as the enterprise People Analytics platform - development, validation, UAT, enablement and launch of products for HRBPs, people managers and P&C leaders; support migration and rationalization of legacy reporting (Tableau, spreadsheets, manual dashboards); manage dependencies across Snowflake, Visier, integrations, access controls and data governance; ensure every product has a business owner, success criteria, launch-readiness plan and post-launch support model.
3. Support AI transformation initiatives: coordinate delivery of AI agents, automation and AI-enabled workflows across P&C with AI engineers, product owners, domain experts, IT and Information Security; track dependencies on AI platforms, enterprise integrations, knowledge management, governance and security approvals; facilitate iterative co-design and business validation; support adoption, enablement and change management with functional leaders.
4. Enable executive visibility and accountability: produce concise, executive-ready program updates (progress, risks, decisions, business impact); prepare materials for leadership reviews, steering committees and governance forums; maintain the single source of truth for milestones, owners, decisions and dependencies; drive follow-through with a strong bias to execution and continuously improve how the organization plans and delivers.
5. Day to day: run the weekly program cadence and status; keep the roadmap, risk/dependency log and decision log current; unblock teams across P&C, IT, Enterprise AI, InfoSec and vendors (Visier, Google); prepare SteerCo and leadership materials; and deliver the 30/60/90-day outcomes - establish control and visibility, accelerate execution, and build a repeatable delivery model that reduces reliance on individual heroics.

Must Haves:

1. 8+ years of project/program management on complex enterprise technology or business transformation programs, with proven delivery of enterprise SaaS platforms, data and analytics products, AI solutions or workflow automation - end to end from discovery through adoption.
2. Demonstrated ownership of cross-functional programs with multiple business and technical stakeholders (IT, Security, Data Engineering, vendors): integrated plans, dependency and risk management, escalation with clear recommendations, and the confidence to challenge assumptions and hold teams accountable.
3. Excellent executive communication - distills complex information into concise, decision-oriented updates and steering-committee materials; hands-on with Asana, Jira, Confluence and Google Workspace; operates independently in a fast-paced, ambiguous environment.

Nice- To- Haves:

1. Experience implementing People Analytics platforms (Visier, Workday Analytics or similar) and familiarity with Snowflake, Tableau and enterprise data integrations.
2. Working knowledge of generative AI, AI agents and LLM deployment considerations (platforms, integrations, knowledge management, governance, security approvals); demonstrated use of AI tools to automate project workflows.
3. Experience partnering with HR / People Operations / HR Technology / People Analytics organizations, with an understanding of data governance, privacy, information security and change management in a high-growth technology company.