Data Stewardship & Governance Manager (Digital Workplace & Facilities)

Quick Facts

• Focus: Employee Care data ecosystem stewardship, governance, and analytics readiness

• Core sources: ServiceNow (tickets) and AskEve/Rezolve (chat/self-serve interactions)

• Collaboration: Embedded across Employee Care D&A Product, Employee Care Service, and Employee Insights

Description

Own end-to-end data stewardship and governance for the Employee Care data ecosystem, ensuring source data is trusted, well-defined, and ready for analytics and reporting. Lead source data change management, data quality definition and monitoring, canonical data modeling/taxonomy design, metadata/cataloging, and data asset validation/testing. Partner with HR, IT, Support Operations, and data/engineering teams to align KPIs and business terminology and to support scalable data architecture.

Role Description & Responsibilities

• Own source data stewardship and governance for Employee Care data systems

• Map tables/fields to analytics needs; assess data sufficiency and close gaps with platform owners

• Establish formal change management for schema/field/value/workflow changes with impact assessment, sign-off, validation, and NNIT/regression testing

• Shape data asset strategy with the Employee Care D&A Product Owner

• Maintain a living business glossary and align KPI definitions with HR/IT/Support Operations

• Define and monitor data quality rules, thresholds, automated monitoring, and remediation

• Lead taxonomy design and canonical data modeling for employee intent and service accountability models

• Review and contribute to data architecture artifacts and integration/data flow designs

• Manage metadata and lead data cataloging with complete definitions, lineage, ownership, and usage guidance

• Define test cases/acceptance criteria and run regression validation prior to production release

Requirements

• Degree in Computer Science, Information Management, Data Analytics, Business Analytics, or related field (Master’s preferred)

• 3+ years in data stewardship, data management, or data governance

• Hands-on experience with ServiceNow or a comparable ITSM/ticket management platform

• Experience running data change management including regression and NNIT testing

• Strong understanding of canonical data modeling, taxonomies, and data standardization in complex multi-tier environments

• Working knowledge of data architecture principles

• Strong hands-on SQL skills for data quality assessment

• Experience working in or with Databricks

• Proven ability to partner with stakeholders to align KPI definitions and business terminology

Benefits

• Hybrid work model (option to work from home two days per week)

• Training and certification paths

• Competitive salary and benefits (private health care, company stock, saving plans, sport cards)

• Regular salary increases and possible promotions based on performance

• Opportunity to change roles every few years