Jobs · Project Management · California

Tech Strategic Programs — Sr Staff Technical Program Manager, Portfolio Insights

Intuit · Mountain View, CA · 3 wk ago
On-siteProject Management$202k–$274k/yrFull-time

Responsibilities

  • Produce curated, high-signal portfolio insights on top growth priorities that directly support weekly leader 1:1s and monthly operating reviews (deltas, drivers, friction, risks, decisions).
  • Translate outcome-level signals into execution-level clarity: what’s driving performance, what’s stalling, and what levers are available to change trajectory.
  • Build and run a signal-to-action loop that ensures insights reliably become agenda topics, decisions, and follow-through across the ecosystem.
  • Lead requirements, program planning, and delivery for an insights product and workflows (partnering with design, data, and engineering), ensuring insights are easy to consume and action with velocity.
  • Stand up execution-level health and signal views to support weekly growth anchors and monthly growth reviews (GRO), prioritizing “high signal, not metric soup.”
  • Drive change management and adoption: embed the new insight workflows into leader rhythms, improve decision hygiene (decision logs, owners, follow-through), and iterate based on feedback and outcomes.
  • Run experiments to improve insight quality, timeliness, and actionability—testing new signal sources, synthesis approaches, and workflow designs.
  • Partner with engineers to evolve AI/automation-assisted insight generation (e.g., synthesis, predictive risk identification) while maintaining human judgment as a first-class capability.

Qualifications

  • Proven ability to turn ambiguous strategy into clear program plans, requirements, operating rhythms, and measurable outcomes in complex orgs.
  • Strong executive-ready storytelling: can synthesize complex signals into concise insights, decisions, and recommended actions.
  • Comfortable working with data and analytics to create insight narratives; able to partner effectively with data analysts and engineers to deliver scalable systems.
  • Familiarity with AI-enabled workflows (automation, summarization/synthesis, risk identification) and how to operationalize them responsibly in leadership mechanisms.
  • Demonstrated ability to influence without authority, facilitate leadership conversations, and drive alignment, accountability, and follow-through.
  • High judgment and “systems thinking” mindset: understands how to operate as an ecosystem—connecting outcomes to drivers and ensuring insights become action.

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