Principal TPM: DGX

Overview

Intuit's Data, Growth, & Experiences (DGX) organization is building the system of intelligence that powers every AI-driven customer experience across TurboTax, QuickBooks, Credit Karma, and Mailchimp. As a Principal TPM on this team, you will sit at the intersection of enterprise data infrastructure and marketing technology — orchestrating the programs that enable 100M+ customers to experience Intuit as one seamlessly intelligent platform.

This is a strategic leadership position for a technical operator who understands data platforms and MarTech ecosystems deeply, moves with urgency, and earns the trust of both engineers and executives. You will drive programs that define how Intuit collects, manages, and activates data to deliver personalised, agentic, done-for-you financial experiences at scale.

Responsibilities

Lead Platform Programs at Enterprise Scale

Own end-to-end delivery of a portfolio of strategic programs spanning data infrastructure (lakehouse, streaming, IDX), MarTech platforms (CDP, campaign orchestration, personalization), and AI-powered experimentationDrive program strategy, architecture alignment, milestone tracking, risk mitigation, and stakeholder communication from initiation through business outcome realizationMaintain unwavering focus on outcomes — not just delivery milestones — translating engineering execution into measurable business impact

Operate at VP Level with Executive Authority

Partner directly with VP and Director-level leaders across DGX to shape investment priorities, resolve organizational dependencies, and hold delivery commitments at scaleServe as the connective tissue between engineering, product management, data science, marketing, and business stakeholders — enabling decisions that would otherwise stall in silosDrive regular executive readouts, program reviews, and async communication that give senior leadership real-time visibility into portfolio health and emerging risks

Build the DGX Program Operating Model

Define and continuously evolve the TPM frameworks, program health metrics, operating cadences, and delivery standards for the DGX organizationEstablish portfolio visibility practices — dependency maps, risk registers, milestone dashboards — that enable a high say-do ratio across all DGX programsChampion Agile and adaptive delivery methodologies, calibrating process rigor to program complexity without adding unnecessary overhead

Champion AI-Native Program Management

Bring AI tools and agentic workflows into your program management practice — accelerating planning, risk synthesis, stakeholder communication, and decision supportCollaborate with engineering leads on AI platform programs (e.g., GenOS, agentic pipelines) as a technically fluent partner who can evaluate architectural trade-offs and drive deliveryModel what it means to be an AI-first builder: demonstrate and teach how LLMs, automation, and intelligent tooling can make the entire team faster and sharper

Develop the TPM Community

Coach and mentor program managers across DGX, raising the technical and strategic capabilities of the teamDefine best practices, playbooks, and frameworks that scale the TPM discipline and elevate program management standards across the broader Intuit TPM communityAct as a trusted advisor to product and engineering leaders — someone who is brought in early on hard problems because of the clarity, rigor, and influence you bring

Qualifications

Experience & Track Record

12+ years of Technical Program Management experience in large-scale, matrixed technology organizationsDemonstrated history of delivering enterprise data platform programs — data warehouses, lakehouses, event streaming pipelines, data mesh architectures, or large-scale API platformsDirect experience with MarTech ecosystems — CDPs (e.g., Segment, Salesforce, Adobe), campaign orchestration platforms, personalisation engines, A/B experimentation infrastructure, or growth technologyProven ability to influence VP- and Director-level stakeholders on strategic investment decisions and organizational priorities

Technical Depth

Strong conceptual and applied understanding of modern cloud data architectures: data lakehouses (Databricks, Snowflake, BigQuery), event streaming (Kafka, Flink), data mesh or data fabric patterns, and API designFluent in the MarTech stack: understands how CDPs, DMPs, campaign tools, measurement frameworks, and personalization engines interconnect to create unified customer data activationComfortable leading architectural design reviews, evaluating technical trade-offs, and representing engineering complexity in executive narrativesConversant in AI/ML concepts as applied to customer data: feature pipelines, model serving, real-time inference, experimentation, and responsible AI practices

Strategic & Analytical Mindset

Uses data as a first-class tool for program management: monitors leading and lagging indicators, constructs health dashboards, and makes evidence-based course correctionsAnticipates risks before they materialize; designs mitigation strategies that address root cause, not just symptomsSees across organizational boundaries — identifies systemic dependencies, cross-team sequencing risks, and alignment gaps that others miss

Communication & Influence

Exceptional written and verbal communicator; able to distill highly technical and complex program status into clear, executive-ready narrativeSkilled navigator of ambiguity, competing priorities, and organizational tension — influences outcomes without relying on authorityBuilds trust rapidly across engineering, product, data, design, and business functions through credibility, follow-through, and genuine intellectual curiosity

Education

BS or MS in Computer Science, Engineering, or a related technical discipline — or equivalent practical experiencePMP, SAFe, or Agile/Scrum certifications are a plus; demonstrated equivalent mastery is equally valued

NICE TO HAVE

Prior experience at a company with significant MarTech or data platform infrastructure at consumer scale (e.g., Google, Meta, Adobe, Salesforce, Uber, Airbnb, Netflix, Amazon, Intuit)Background in financial technology, SaaS, or consumer platforms with 50M+ active usersHands-on experience with GenAI application development, LLM platform programs, or agentic AI system deliveryFamiliarity with privacy-by-design frameworks, consent management platforms, or data governance programs at enterprise scale

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 Intuit. 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.