Senior Digital Platforms Capability Lead

Microsoft•Mountain View, CA

About The Position

We’re looking for a Digital Platforms Capability Lead to join our team. This role will be a critical partner to Platform Marketing, Platform Analytics, and Product Marketing, focused on enabling business use cases end-to-end across our digital channels (web and app) -from defining the need, to shaping the solution, to ensuring teams can actually use it at scale. The ideal candidate is a hands-on platform enablement leader who can sit at the intersection of business outcomes and technical delivery. You know how to unpack business goals into clear journeys and requirements, evaluate the right tools/tech patterns to enable them, and partner with product, engineering, and privacy to get solutions delivered in a scalable, repeatable way. In this role, you’ll work backward from real customer and business scenarios (measurement, experimentation, personalization, lifecycle, performance marketing, etc.) and translate them into functional and technical requirements - including journey maps, use cases, operating model, tooling needs, and success criteria. You’ll guide teams on “how we do it” by establishing practical standards and self-serve playbooks that make adoption easy, consistent, and compliant. You’ll also work closely with privacy and compliance stakeholders to ensure each capability is enabled in a way that is privacy-safe and policy-compliant, without slowing down the business. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Requirements

Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
2+ years of experience managing cross-functional and/or cross-team projects.
7+ years of experience in ad tech, marketing technology, digital analytics, or digital platform enablement.
Strong hands-on experience as an Adobe business practitioner, including Adobe Analytics/CJA and AEM; Adobe certifications preferred.
Tag Management experience.
Deep understanding of web and app user journeys, touchpoints, and digital interaction data flows.
Strong knowledge of web data layers and event models; working familiarity with HTML, CSS, and JavaScript is a plus.
Experience designing, executing, and interpreting experimentation and personalization programs (A/B/n testing, audience-based experiences) using Adobe Target or similar tools.
Proven ability to translate business and marketing needs into clear functional requirements and scalable technical solutions.
Strong program and stakeholder management skills, with experience leading cross-functional delivery across product, engineering, and marketing teams.
Excellent communication skills, with the ability to balance strategic vision, operational execution, and governance.

Nice To Haves

Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
6+ years of experience managing cross-functional and/or cross-team projects.
1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
4+ years of hands-on experience as an Adobe business practitioner, including Adobe Analytics/CJA and AEM; Adobe certifications preferred.
4+ years experience with web and app user journeys, touchpoints, and digital interaction data flows.
4+ years experience with web data layers and event models; working familiarity with HTML, CSS, and JavaScript is a plus.
4+ years experience designing, executing, and interpreting experimentation and personalization programs (A/B/n testing, audience-based experiences) using Adobe Target or similar tools.

Responsibilities

Partner with Web Analytics, Web Marketing, and Product Marketing to translate business objectives into measurable customer journeys, use cases, and end-to-end digital data capability requirements across web and app experiences.
Own the intake-to-delivery lifecycle for web/app data initiatives: intake triage, scoping, prioritization, solution design, and roadmap sequencing—balancing strategic value, engineering capacity, privacy/compliance, and technical feasibility.
Define clear business, functional, and non-functional requirements for digital data collection and instrumentation (events, parameters, consent/state, identity considerations, performance budgets), and deliver engineering-ready specifications (schemas, data contracts, acceptance criteria).
Drive alignment on instrumentation architecture and standards (data layer/event model, tagging patterns, SDK integration, QA/validation approach) to ensure consistent downstream availability across analytics, media signals, experimentation, and measurement pipelines.
Establish reusable frameworks and guardrails for templates, components, experimentation, personalization, and testing (A/B, multivariate, audience-based)—including measurement plans, KPI definitions, and decision criteria—to enable consistent, scalable implementation.
Build enablement and self-serve operating models (playbooks, training, office hours, documentation) so marketers and partners can confidently leverage tagging and experimentation tooling with minimal hands-on support.
Create and manage integrated delivery plans and execution rhythms (milestones, risks, dependencies, stakeholder comms) across engineering, marketing, analytics, and media—ensuring predictable delivery and clear ownership.
Evaluate, pilot, and recommend new tooling/capabilities (platform features, partner solutions, automation) to improve digital data maturity, increase self-service, and reduce time-to-insight.
Establish governance and data quality operating mechanisms (validation checks, SLAs, change control, versioning, monitoring dashboards) to ensure accuracy and consistency from source events through reporting, optimization signals, and downstream measurement use cases.
Proactively identify instrumentation, data quality, privacy, or performance risks; coordinate triage and troubleshooting across teams to root-cause issues and drive durable fixes.
Embody our culture and values.