Senior Digital Platforms Capability Lead

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.

• 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 fixe