Tech Strategic Programs u2014 Sr Staff Technical ...

Overview Come join the Tech Strategic Programs team as a Sr Staff Technical Program Manager (TPM) focused on Portfolio Insights to help the Tech Ecosystem operate as an integrated ecosystem on our most critical growth bets. In this role, you will provide high-signal human intelligence layered on top of quantitative insights, and youu2019ll drive the program and requirements to build an u201cinsights productu201d that reduces cognitive load and increases decision velocity for the CTO and Tech leadership. You will partner closely with a designer, data analyst, and software engineers to deliver execution-level visibility into outcomes, drivers, risks, and decisionsu2014feeding weekly leader 1:1s, monthly operating reviews, and monthly CTO/GM 1:1s. Responsibilities Insight + Sensemaking (Human Intelligence on top of data) + 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 : whatu2019s driving performance, whatu2019s 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. Build the Insights Product (Requirements + Delivery) + 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 u201chigh signal, not metric soup.u201d + 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. Experimentation + Automation Enablement + Run experiments to improve insight quality, timeliness, and actionabilityu2014testing 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 u201csystems thinkingu201d mindset: understands how to operate as an ecosystemu2014connecting outcomes to drivers and ensuring insights become action. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuitu00ae: Careers Benefits (). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Created: 2026-02-11