Principal Technical Program Manager

** Overview*
* Intuit's Data, Growth, & Experiences (DGX) organization is building the system of intelligence that powers every AI-driven customer experience across Turbo Tax, Quick Books, 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), Mar Tech 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, lake houses, event streaming pipelines, data mesh architectures, or large-scale API platforms

+ Direct experience with Mar Tech 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 lake houses (Databricks, Snowflake, Big Query), event streaming (Kafka, Flink), data mesh or data fabric patterns, and API design

+ Fluent in the Mar Tech 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 indicators, constructs health dashboards, and makes evidence-based course corrections

+ Anticipates risks before they materialize; designs mitigation strategies that address root cause, not just symptoms

+ Sees across organizational boundaries - identifies systemic dependencies, cross-team sequencing risks, and alignment gaps that others miss

Communication & Influence

+ Exceptional written and verbal…