Job Description

We are looking for an experienced Staff Process Architect to join the Customer Activation team within Commercial Operations Growth Systems (COGS). This role sits at the intersection of data and process: you will lead our Data Partnership team (data partners who own data definitions and audience management for all marketing campaigns) while architecting the future of how campaign data work gets done. Your mandate is to unify data partnership, data catalyst, onboarding, and list operations into a single end-to-end data function that runs customer activation entirely in-house, and then to automate or enable self-service for at least half of its workflows. Leveraging 10+ years of experience across marketing data operations and process design, you will own the end-to-end campaign data domain: audience management, data onboarding, and data investigations. You will champion self-service data solutions and AI-driven automation that enable marketers to accelerate the data component of campaign production, and you will build the governed data foundations that power the next generation of AI-driven, natural-language audience targeting. Extreme ownership and strong partnership with stakeholders is critical to success.

Responsibilities

• Unify today's separate data functions (data partnership, data catalyst, onboarding, and list operations) into a single end-to-end campaign data function: rationalize intake, roles, SLAs, and tooling, and internalize capabilities that currently depend on external teams so activation runs end-to-end in-house.
• Architect the future state of all campaign-data-related processes (audience management, data onboarding, investigations, and list operations), designing scalable workflows, intake mechanisms, governance models, and documentation that increase velocity and quality without added headcount.
• Support the creation of, and champion the adoption of, self-service data solutions (attribute discovery, audience sizing, automated list pulls) that empower marketers to self-serve the data component of campaign production, with governance built in across data cataloging, onboarding, and audience delivery.
• Identify and implement AI and automation solutions, including generative AI and agentic workflows, that materially reduce manual effort, compress cycle times, and expand what the team can own.
• Deliver the governed audience foundations (semantic attribute definitions, machine-readable metadata, and certified signals) that power natural-language targeting and a unified signal layer for AI-driven activation.
• Lead a team of contractors operating as data partners (the owners of data definitions, attribute stewardship, and audience management for all marketing campaigns), ensuring consistent quality, throughput, and accountability across the portfolio.
• Own audience management end to end: partner with lifecycle marketers and other stakeholders to translate targeting intent into performant, compliant audiences across our martech stack (Adobe AEP/Marketo and internal campaign platforms), including audience builds, list operations, privacy scrubs, and third-party activation (e.g., LiveRamp).
• Own the data onboarding lifecycle for campaign data, driving clear SLAs, data readiness standards, and dependable delivery that keeps revenue campaigns unblocked.
• Own data investigations: triage and root-cause campaign data issues across pipelines and platforms, mobilize the right cross-functional partners (data engineering, analytics, product), and drive resolution with transparent stakeholder communication.
• Serve as the authoritative source of truth for campaign data definitions: maintain attribute context (derivation, source, intended use), champion certified/paved-path data, and enforce data governance, access, and privacy standards in all targeting.
• Lead the data partners through platform migrations and organizational change with zero disruption to in-flight campaigns, auditing data dependencies and sequencing transitions to protect business continuity.
• Measure and report on the operational health of the domain (cycle time, throughput, quality), using data to prioritize improvements and demonstrate impact to leadership.

Qualifications

• Minimum of 10+ years of experience in marketing data operations, campaign operations, or data management supporting multi-channel marketing in a B2B and/or B2C environment.
• Strong understanding of how marketers use data, with a partnership-oriented approach to translating marketing intent into data requirements and better alternatives when needed.
• Outstanding cross-functional communication and influence skills, able to align stakeholders across marketing, data engineering, analytics, and product, and to communicate clearly with leadership at all levels.
• Proven experience leading and developing teams, including contractor or managed-service resources: setting standards, managing throughput and quality, and delivering outcomes through others.
• Strong technical capability with data: advanced SQL, working fluency with data pipelines and ETL, and the hands-on ability to investigate data issues to root cause rather than waiting on others to do so.
• Expert knowledge of audience segmentation and activation in enterprise marketing platforms; experience with Adobe (AEP/Marketo) is highly advantageous.
• Strong understanding of customer data platforms, identity, and the operational data flows that underpin lifecycle marketing, with the credibility to partner directly with data engineering and analytics on technical design.
• Demonstrated expertise in process architecture: designing, documenting, and scaling operational workflows, SLAs, intake processes, and governance models. Experience with work management platforms (e.g., Workfront) is a plus.
• Demonstrated success unifying fragmented operational functions (or in-housing externally dependent capabilities) into a single, accountable end-to-end service.
• A strong understanding of leveraging automation and AI, including generative AI and agentic workflows, to accelerate operational velocity, with concrete examples of manual work you have eliminated. Experience preparing data foundations for AI consumption (semantic layers, governed metadata) is highly advantageous.
• Extreme ownership of your work and domain, proactively surfacing risks and gaps rather than letting them sit unresolved.
• Expert command of data governance, privacy, and data protection practices as they apply to marketing targeting and suppression.
• Demonstrated ability to thrive in a fast-paced environment, navigating change and ambiguity (including platform migrations and organizational transitions) with aplomb.
• Embodies a growth mindset and a builder's bias, constantly raising the bar for self, the team, and the craft.

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®: 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:

Mountain View $167,500 - $227,000

San Diego, CA $153,500- $207,500