Fetch helps people live rewarded, with a vision to create the rewards destination for everyone.
The Role
Own the strategy, governance, architecture, modeling, and reporting foundation for People Experience data. Build governed metrics, semantic and consolidated data layers, dashboards, data catalogs, quality monitoring, and operating processes from the ground up. Manage intake, prioritization, access, privacy, enablement, and self-service adoption while partnering with stakeholders on analytics and future AI capabilities. The role combines strategic program leadership with hands-on SQL, data modeling, reporting, and team mentoring.
Summary Generated by Built In
What we’re building and why we’re building it.
Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.
Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.
The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.
It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.
At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.
About the Role:
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.
The Program Manager for Data & 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.
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.
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.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
Data & Analytics Platform Responsibilities:
Strategy & Program Leadership
- Translate the PX Operations objectives into a multi-quarter strategy and roadmap for People data and analytics, and own its delivery
- Define the operating model for the program (how requests come in, how work gets prioritized, how the program runs and reports on itself)
- Own the architecture and build-versus-buy decisions for the data and analytics stack
- Represent People data and analytics to PX leadership and cross-functional partners, and set the standards other teams work to
- Build the program and its operations to scale, so resourcing can be added as demand grows
Data Governance & Standards
- Define the data governance framework for the People data PX owns (e.g. definitions, ownership, quality criteria, access and retention policies)
- 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)
- Establish clear owners for each data domain and the mechanism for how a data-quality issue gets raised, routed and resolved.
- Set the quality criteria that define accurate, complete and current data and stand up the monitoring that tracks data and governance health over time.
- Set the privacy, retention and regulatory posture for People data working with legal on requirements.
- Hold the owners of adjacent source systems accountable to our data standards.
Data Architecture & Modeling
- Build and maintain the data models and schemas for People data and the events that change them.
- Define and govern the authoritative records for core People entities.
- Maintain data lineage and mapping (i.e. the traceable path from each system of record, how it’s transformed and when it’s consumed).
- 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).
- Lead the design of a modular, multi-table architecture that unblocks point-in-time snapshots, new sources and finer-grained access to the platform.
Data Operations
- Serve as the central point of contact for People data and reporting requests, triage, route, and track them to resolution.
- Product-manage the lifecycle of PX's data solutions through intake, prioritization, roadmap, adoption, and performance.
- Operate access management to ensure teams and partners can get the right data at the right time.
- Maintain the operational backlog and working state of the program including the request queue, the data-product roadmap, etc.
Data Enablement & Literacy
- Build the data literacy program, delivering training and resources that raise the function's ability to read, interpret, and work with data.
- Partner with PX teams to ask better questions of their data and build a data-informed culture.
- Expand self-service adoption helping teams get value from the dashboards and tools.
Reporting & Analytics
- Build and maintain People operational reporting products and self-service tools
- Build the operational metrics that show how PX itself is performing (e.g. service levels, cycle times, system and governance health, etc.)
- Partner with PX teams on deeper analysis and analytics consultation that surfaces meaningful insights
- Build toward advanced and predictive analytics (i.e. modeling and data science that anticipate and explain) as the foundation matures enough to support it.
Minimum Requirements:
- Experience 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
- Deep experience with data modeling and architecture (schemas, semantic or metrics layers, master and reference data, lineage)
- Hands-on expertise writing SQL and building data models, reporting products, and dashboards
- Experience defining and running data governance (definitions, ownership, quality, access, privacy)
- Experience turning ambiguous business questions into governed metrics and analytics products people trust
- Experience standing up a data governance or people analytics function
- Experience with People or HR data
- Familiarity with the data foundations AI and automation build on (semantic layers, machine-readable definitions, agent-consumable data)
- Experience leading or mentoring a team
Compensation:
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 https://fetch.com/careers.
At Fetch, we'll give you the tools to feel healthy, happy and secure through:
- Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
- 401k Match: Dollar-for-dollar match up to 4%.
- Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
- Continuing Education: Fetch provides ten thousand per year in education reimbursement.
- Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
- Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
- Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
- Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)
Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.
Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at [email protected].
Skills Required
- Experience 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
- Deep experience with data modeling and architecture, including schemas, semantic or metrics layers, master and reference data, and lineage
- Hands-on expertise writing SQL and building data models, reporting products, and dashboards
- Experience defining and running data governance, including definitions, ownership, quality, access, and privacy
- Experience turning ambiguous business questions into governed metrics and trusted analytics products
- Experience standing up a data governance or people analytics function
- Experience with People or HR data
- Familiarity with data foundations used by AI and automation, including semantic layers, machine-readable definitions, and agent-consumable data
- Experience leading or mentoring a team
Fetch Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fetch and has not been reviewed or approved by Fetch.
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Healthcare Strength — Benefits information points to comprehensive medical, dental, vision, and life insurance coverage. Feedback suggests employees value the strong health offerings alongside mental-health support.
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Leave & Time Off Breadth — Policies include flexible or unlimited PTO, paid holidays and sick days, bereavement (including pet) and natural-disaster leave. Feedback suggests time-off breadth is a standout element of the package.
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Wellbeing & Lifestyle Benefits — Wellness programs, 1:1 coaching, Gympass, team workouts, and nutrition counseling are provided. Office and remote perks such as home-office stipends, snacks, and pet-friendly spaces further enhance lifestyle support.
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The Company
What We Do
Through Fetch Points, the platform transforms everyday actions into rewarding moments, with more than $1 billion in Fetch Points awarded to date. Every day, more than 13 million receipts are submitted on Fetch, creating visibility into $212 billion in gross merchandise value and delivering the largest retail-agnostic, SKU-level view of household spending. This unmatched dataset powers Fetch as an outcomes-based advertising platform that acquires and retains lifelong consumers.
Why Work With Us
At Fetch, we back your ambition. You’ll have the scope, trust, and opportunity to turn bold ideas into meaningful impact for millions of people. Our builder-minded, high-agency, low-ego culture gives you room to shape what comes next and grow in ways that last, all while helping people live rewarded.
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