Staff Process Architect, Data Partnership

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.

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