Loom Metrics and Adoption Analytics Lead (Secondment - 6 Months)

Pfizer•Bothell, WA

2d•Hybrid

About The Position

The Loom Metrics and Adoption Analytics Lead maintains the Loom KPI framework across executive, builder, data owner, and data consumer personas. The role defines each metric’s source system and calculation, including AI-ready data products, time to first query, reuse rate, readiness-check results, and adoption. Metric changes are brought to Loom Program Governance for decision and recorded in the RAID log. The position works with platform engineers to specify telemetry and logging requirements for readiness-check runs, the contract registry, MCP servers, and the AI gateway. It sets measurement acceptance criteria in backlog epics, checks telemetry quality and completeness, and flags gaps to workstream leads. The role builds and refreshes the Loom metrics dashboard weekly, produces monthly milestone evidence for EPMO and S2 roadmap commitments, and provides executive reporting for the D&I Leadership Team and digital leadership reviews. It also measures onboarding funnels, defines scale-test metrics with the platforms workstream, and establishes production KPIs, baselines, and targets for the planned Q1 2027 go-live. This is a six-month secondment. The role is designated Flexible, with colleagues expected to meet Log In For Your Day requirements at the site, approximately 2.5 days per week in the office. There will be no change to the employee’s current work location.

Requirements

Bachelor’s degree and at least 6 years of experience.
Demonstrated experience driving change across multiple organizations, with regulatory knowledge and awareness, technical competence, sound judgment, and a professional demeanor.
Robust knowledge and experience in project management, data analysis, business analysis, and information integration.
Ability to engage cross-functional teams to deliver on time and within budget.
Ability to manage multiple priorities and work well under pressure.
Strong verbal, written communication, and presentation skills.
Proficiency in e-commerce tools, computer systems, and business workflows.
Must have permanent work authorization in the United States; employment visa sponsorship is not available.

Nice To Haves

Master’s degree with at least 5 years of experience, or a PhD with at least 1 year of experience.
Relevant pharmaceutical industry experience.
Experience with applications in Marketing, Medical, Clinical, Pricing/Market Access, or real-world data.
Hands-on Service Delivery, Program Delivery, and Operations experience.
Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity.
Curiosity about how AI tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use.
Breadth of diverse leadership experiences and capabilities, including influencing and collaborating with peers, developing and coaching others, and overseeing and guiding colleagues’ work to achieve meaningful outcomes and business impact.

Responsibilities

Maintain the Loom KPI framework by persona, starting from Loom KPIs V1.
Publish definitions, source systems, and calculation rules for each metric, including metrics for AI-ready data products, time to first query, reuse rate, readiness-check results, and adoption.
Bring proposed metric additions and changes to Loom Program Governance for decision and log each decision in the RAID log.
Specify logging requirements with platform engineers for readiness-check runs, the contract registry, MCP servers, and the AI gateway.
Write measurement acceptance criteria into backlog epics so features ship with their associated metrics.
Validate the completeness and accuracy of telemetry sources and flag gaps to workstream leads.
Build and run the Loom metrics dashboard with a weekly refresh.
Produce monthly milestone evidence for EPMO and S2 roadmap commitments.
Provide executive reporting for the D&I Leadership Team and digital leadership reviews.
Measure the onboarding funnel by business domain with the onboarding team and report drop-off points.
Define scale-test metrics with the platforms workstream, including user thresholds and query latency targets.
Define the production KPI set, baselines, and targets required for Q1 2027 go-live.