Note: The job is a remote job and is open to candidates in USA. Fetch is a rewards platform that connects consumers and brands through everyday activities and purchase data. The Staff Program Manager, Data Analytics will establish and lead the People Experience data and analytics program, including governance, architecture, semantic modeling, reporting, and operational processes. This hands-on role will build data models, dashboards, analytics products, and the foundations needed for AI and automation.
Responsibilities
- 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
- 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
- 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
- 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
- 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
- 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
Skills
- 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
Benefits
- 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)
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