Principal Technical Program Manager

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.

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 experimentation
• Drive program strategy, architecture alignment, milestone tracking, risk mitigation, and stakeholder communication from initiation through business outcome realization
• Maintain 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 scale
• Serve as the connective tissue between engineering, product management, data science, marketing, and business stakeholders — enabling decisions that would otherwise stall in silos
• Drive 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 organization
• Establish portfolio visibility practices — dependency maps, risk registers, milestone dashboards — that enable a high say-do ratio across all DGX programs
• Champion 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 support
• Collaborate 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 delivery
• Model 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 team
• Define best practices, playbooks, and frameworks that scale the TPM discipline and elevate program management standards across the broader Intuit TPM community
• Act 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 organizations
• Demonstrated history of delivering enterprise data platform programs — data warehouses, lakehouses, event streaming pipelines, data mesh architectures, or large-scale API platforms
• Direct experience with MarTech ecosystems — CDPs (e.g., Segment, Salesforce, Adobe), campaign orchestration platforms, personalization engines, A/B experimentation infrastructure, or growth technology
• Proven 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 design
• Fluent in the MarTech stack: understands how CDPs, DMPs, campaign tools, measurement frameworks, and personalization engines interconnect to create unified customer data activation
• Comfortable leading architectural design reviews, evaluating technical trade-offs, and representing engineering complexity in executive narratives
• Conversant 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 in