Staff Program Manager, Data Analytics at Fetch

United States

$182.75k - $215k

<div><strong>About the Role:</strong></div><div><br></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">Fetch has the raw material for strong People analytics and none of the structure that makes it trustworthy. Definitions differ from one system to the next, nothing is governed, and every answer gets rebuilt by hand. This role builds the structure and owns it.</span></div><div><br></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">The Program Manager for Data &amp; Analytics sets the strategy for how People Experience governs, models, and reports on its data, and architects the foundation that every People metric, dashboard, and AI agent reads from. This is a strategic, high-agency role. The person defines the data governance model, designs the semantic layer, and establishes the analytics products People leadership and the business use to make decisions.</span></div><div><br></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">This is also a hands-on role. People Experience is a lean team building from zero to one, so the person who sets the strategy is the same person who builds the first version of it. They do the strategic work and the in-the-weeds work, writing the SQL and standing up the first models and dashboards themselves. Part of the job is building the program and its operating model so it can grow, designing for scale from the start so the function can add resourcing as the work matures.</span></div><div><br></div><div><span style="background-color: transparent; color: rgb(0, 0, 0);">The work is two-track by design. Every model, definition, and report answers a real operational question today and establishes the governed, machine-readable foundation that Fetch's AI and automation build on next.</span></div><div><br></div><div>This is a full-time role that can be held from one of our US offices or remotely in the United States.</div><div><br></div><div><strong>Data &amp; Analytics Platform Responsibilities:</strong></div><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Strategy &amp; Program Leadership</strong></div><ul><li class=""><span style="background-color: transparent;">Translate the PX Operations objectives into a multi-quarter strategy and roadmap for People data and analytics, and own its delivery</span></li><li class=""><span style="background-color: transparent;">Define the operating model for the program (how requests come in, how work gets prioritized, how the program runs and reports on itself)</span></li><li class=""><span style="background-color: transparent;">Own the architecture and build-versus-buy decisions for the data and analytics stack</span></li><li class=""><span style="background-color: transparent;">Represent People data and analytics to PX leadership and cross-functional partners, and set the standards other teams work to</span></li><li class=""><span style="background-color: transparent;">Build the program and its operations to scale, so resourcing can be added as demand grows</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Data Governance &amp; Standards</strong></div><ul><li class=""><span style="background-color: transparent;">Define the data governance framework for the People data PX owns (e.g. definitions, ownership, quality criteria, access and retention policies)</span></li><li class=""><span style="background-color: transparent;">Build the business glossary and data catalog, the canonical definitions for every People metric, field, and entity (e.g. what "headcount," "attrition”, "start date" mean and the sources of truth for each)</span></li><li class=""><span style="background-color: transparent;">Establish clear owners for each data domain and the mechanism for how a data-quality issue gets raised, routed and resolved.</span></li><li class=""><span style="background-color: transparent;">Set the quality criteria that define accurate, complete and current data and stand up the monitoring that tracks data and governance health over time.</span></li><li class=""><span style="background-color: transparent;">Set the privacy, retention and regulatory posture for People data working with legal on requirements.</span></li><li class=""><span style="background-color: transparent;">Hold the owners of adjacent source systems accountable to our data standards.</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Data Architecture &amp; Modeling</strong></div><ul><li class=""><span style="background-color: transparent;">Build and maintain the data models and schemas for People data and the events that change them.</span></li><li class=""><span style="background-color: transparent;">Define and govern the authoritative records for core People entities.</span></li><li class=""><span style="background-color: transparent;">Maintain data lineage and mapping (i.e. the traceable path from each system of record, how it’s transformed and when it’s consumed).</span></li><li class=""><span style="background-color: transparent;">Build the consolidated data layer and the semantic layer that reporting and AI read from (i.e. metrics and dimensions defined once, so every dashboard and every agent reads the same governed definition).</span></li><li class=""><span style="background-color: transparent;">Lead the design of a modular, multi-table architecture that unblocks point-in-time snapshots, new sources and finer-grained access to the platform.</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Data Operations</strong></div><ul><li class=""><span style="background-color: transparent;">Serve as the central point of contact for People data and reporting requests, triage, route, and track them to resolution.</span></li><li class=""><span style="background-color: transparent;">Product-manage the lifecycle of PX's data solutions through intake, prioritization, roadmap, adoption, and performance.</span></li><li class=""><span style="background-color: transparent;">Operate access management to ensure teams and partners can get the right data at the right time.</span></li><li class=""><span style="background-color: transparent;">Maintain the operational backlog and working state of the program including the request queue, the data-product roadmap, etc.</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Data Enablement &amp; Literacy</strong></div><ul><li class=""><span style="background-color: transparent;">Build the data literacy program, delivering training and resources that raise the function's ability to read, interpret, and work with data.</span></li><li class=""><span style="background-color: transparent;">Partner with PX teams to ask better questions of their data and build a data-informed culture.</span></li><li class=""><span style="background-color: transparent;">Expand self-service adoption helping teams get value from the dashboards and tools.</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Reporting &amp; Analytics</strong></div><ul><li class=""><span style="background-color: transparent;">Build and maintain People operational reporting products and self-service tools</span></li><li class=""><span style="background-color: transparent;">Build the operational metrics that show how PX itself is performing (e.g. service levels, cycle times, system and governance health, etc.)</span></li><li class=""><span style="background-color: transparent;">Partner with PX teams on deeper analysis and analytics consultation that surfaces meaningful insights</span></li><li class=""><span style="background-color: transparent;">Build toward advanced and predictive analytics (i.e. modeling and data science that anticipate and explain) as the foundation matures enough to support it.</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Discovery &amp; Research</strong></div><ul><li class=""><span style="background-color: transparent;">Lead discovery and user research with PX teams and cross-functional partners to identify needs, map current state and surface pain points</span></li><li class=""><span style="background-color: transparent;">Produce the opportunity and initiative briefs that define the problem statement, who it affects, the current state and the impact</span></li><li class=""><span style="background-color: transparent;">Validate the problem and solution hypotheses with users and stakeholders and translate them into the requirements the build runs against</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Design &amp; Architecture</strong></div><ul><li class=""><span style="background-color: transparent;">Design the frameworks, models and standards that structure the work (taxonomy, content model, data model, service blueprint, operating rhythm)</span></li><li class=""><span style="background-color: transparent;">Define the standards, rules and decision criteria the framework runs on (scope, ownership, versioning, naming, and how the model evolves without breaking what is already in use)</span></li><li class=""><span style="background-color: transparent;">Design the structures so people and AI work from the same governed source</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Hands-On Build</strong></div><ul><li class=""><span style="background-color: transparent;">Produce the artifacts that bring the framework to life (templates, reference content, tool configuration, lightweight automation)</span></li><li class=""><span style="background-color: transparent;">Write and edit the first reference assets that demonstrate the standards and patterns</span></li><li class=""><span style="background-color: transparent;">Configure and maintain the tools and platforms the work runs in</span></li><li class=""><span style="background-color: transparent;">Build lightweight automation that removes manual steps from the workflow (routing, reminders, validation)</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Enablement &amp; Adoption</strong></div><ul><li class=""><span style="background-color: transparent;">Build the guides, training and playbooks that make new frameworks, tools and AI capabilities easy to adopt and sustain</span></li><li class=""><span style="background-color: transparent;">Coach contributors through their first contributions and transfer day-to-day ownership to the teams that run the work</span></li><li class=""><span style="background-color: transparent;">Plan and facilitate the working sessions that align PX teams and cross-functional partners on shared concepts, terminology and boundaries</span></li><li class=""><span style="background-color: transparent;">Test what is built with users and in real workflows to validate clarity and usability</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Cross-Functional Partnership</strong></div><ul><li class=""><span style="background-color: transparent;">Act as the connection point between PX teams (Total Rewards, Talent Management, People Ops, the HRBPs) and partner functions (Finance, IT, Legal).</span></li><li class=""><span style="background-color: transparent;">Align partners on the shared standards, terminology and boundaries the work crosses</span></li><li class=""><span style="background-color: transparent;">Map and manage the dependencies between teams, and keep partners aligned as the work changes (joint reviews, change communications, shared artifacts)</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Program &amp; Product Operations</strong></div><ul><li class=""><span style="background-color: transparent;">Product-manage the lifecycle of own solutions/programs(intake, prioritization, roadmap, adoption, performance)</span></li><li class=""><span style="background-color: transparent;">Maintain the program infrastructure that keeps the work visible (backlog, request queue, roadmap, status reporting)</span></li><li class=""><span style="background-color: transparent;">Run the operating rhythm of the work (status updates, review cadences, cross-team coordination).</span></li><li class=""><span style="background-color: transparent;">Monitor performance and adoption and run the continuous improvement loop (retrospectives, applied learnings)</span></li></ul><div><br></div><div><strong>General Responsibilities: </strong></div><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Discovery &amp; Research</strong></div><ul><li class=""><span style="background-color: transparent;">Lead discovery and user research with PX teams and cross-functional partners to identify needs, map current state and surface pain points</span></li><li class=""><span style="background-color: transparent;">Produce the opportunity and initiative briefs that define the problem statement, who it affects, the current state and the impact</span></li><li class=""><span style="background-color: transparent;">Validate the problem and solution hypotheses with users and stakeholders and translate them into the requirements the build runs against</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Design &amp; Architecture</strong></div><ul><li class=""><span style="background-color: transparent;">Design the frameworks, models and standards that structure the work (taxonomy, content model, data model, service blueprint, operating rhythm)</span></li><li class=""><span style="background-color: transparent;">Define the standards, rules and decision criteria the framework runs on (scope, ownership, versioning, naming, and how the model evolves without breaking what is already in use)</span></li><li class=""><span style="background-color: transparent;">Design the structures so people and AI work from the same governed source</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Hands-On Build</strong></div><ul><li class=""><span style="background-color: transparent;">Produce the artifacts that bring the framework to life (templates, reference content, tool configuration, lightweight automation)</span></li><li class=""><span style="background-color: transparent;">Write and edit the first reference assets that demonstrate the standards and patterns</span></li><li class=""><span style="background-color: transparent;">Configure and maintain the tools and platforms the work runs in</span></li><li class=""><span style="background-color: transparent;">Build lightweight automation that removes manual steps from the workflow (routing, reminders, validation)</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Enablement &amp; Adoption</strong></div><ul><li class=""><span style="background-color: transparent;">Build the guides, training and playbooks that make new frameworks, tools and AI capabilities easy to adopt and sustain</span></li><li class=""><span style="background-color: transparent;">Coach contributors through their first contributions and transfer day-to-day ownership to the teams that run the work</span></li><li class=""><span style="background-color: transparent;">Plan and facilitate the working sessions that align PX teams and cross-functional partners on shared concepts, terminology and boundaries</span></li><li class=""><span style="background-color: transparent;">Test what is built with users and in real workflows to validate clarity and usability</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Cross-Functional Partnership</strong></div><ul><li class=""><span style="background-color: transparent;">Act as the connection point between PX teams (Total Rewards, Talent Management, People Ops, the HRBPs) and partner functions (Finance, IT, Legal).</span></li><li class=""><span style="background-color: transparent;">Align partners on the shared standards, terminology and boundaries the work crosses</span></li><li class=""><span style="background-color: transparent;">Map and manage the dependencies between teams, and keep partners aligned as the work changes (joint reviews, change communications, shared artifacts)</span></li></ul><div><br></div><div><strong style="background-color: transparent; color: rgb(0, 0, 0);">Program &amp; Product Operations</strong></div><ul><li class=""><span style="background-color: transparent;">Product-manage the lifecycle of own solutions/programs(intake, prioritization, roadmap, adoption, performance)</span></li><li class=""><span style="background-color: transparent;">Maintain the program infrastructure that keeps the work visible (backlog, request queue, roadmap, status reporting)</span></li><li class=""><span style="background-color: transparent;">Run the operating rhythm of the work (status updates, review cadences, cross-team coordination).</span></li><li class=""><span style="background-color: transparent;">Monitor performance and adoption and run the continuous improvement loop (retrospectives, applied learnings)</span></li></ul><div><br></div><div><strong>Minimum Requirements:</strong></div><ul><li class=""><span style="background-color: transparent;">12+ years in data and analytics, analytics engineering, data governance, or a related discipline, with a track record of building data foundations or analytics functions from the ground up</span></li><li class=""><span style="background-color: transparent;">Deep experience with data modeling and architecture (schemas, semantic or metrics layers, master and reference data, lineage)</span></li><li class=""><span style="background-color: transparent;">Hands-on expertise writing SQL and building data models, reporting products, and dashboards</span></li><li class=""><span style="background-color: transparent;">Experience defining and running data governance (definitions, ownership, quality, access, privacy)</span></li><li class=""><span style="background-color: transparent;">Experience turning ambiguous business questions into governed metrics and analytics products people trust</span></li><li class=""><span style="background-color: transparent;">Experience standing up a data governance or people analytics function</span></li><li class=""><span style="background-color: transparent;">Experience with People or HR data</span></li><li class=""><span style="background-color: transparent;">Familiarity with the data foundations AI and automation build on (semantic layers, machine-readable definitions, agent-consumable data)</span></li><li class=""><span style="background-color: transparent;">Experience leading or mentoring a team</span></li></ul><div>&nbsp;</div><div><strong>Compensation: </strong></div><div>At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $182,750-215,000. Discover our benefits and how our employees live rewarded at <a href="https://fetch.com/careers" rel="noopener noreferrer" target="_blank">https://fetch.com/careers</a><strong>.</strong></div><div><br></div>