Must Have Technical/Functional Skills
- 3+ years in business analyst, data analyst, or similar roles involving direct stakeholder-facing requirements gathering.
- 1+ year exposure to data quality, data governance, or data management initiatives preferred.
- Ability to translate ambiguous business language into precise, testable requirements; including
relationship/correlation requirements across entities
- Working SQL skills sufficient to explore data independently, validate assumptions, and communicate credibly
with engineers (advanced development skills not required).
- Strong facilitation and communication skills, comfortable working live with both technical teams and non-technical
business stakeholders at multiple levels.
- Organizational and follow-through skills for managing a backlog, tracking commitments across many stakeholders,
and keeping a distributed process on track.
- Experience producing clear documentation and stakeholder-facing reporting.
Roles & Responsibilities
Requirements & Rule Backlog
- Partner with business stakeholders to define data quality requirements organized by business function and
subject area, framing quality in terms of the business capabilities it enables.
- Within each subject area, identify and document the critical data elements, quality expectations, thresholds,
severity, and the steward/owner responsible for triage.
- Define cross-entity correlation requirements as first-class quality rules alongside field-level checks.
- Work with stakeholders to define derived, subject-area-level quality scores tied to business
readiness (e.g., readiness of quote and exposure data to support new product development or provisional quoting),
so quality is measured against outcomes.
- Own and prioritize the data quality rule backlog by subject area, balancing business impact, regulatory importance,
and engineering effort in partnership with the Data Quality Engineer.
- Validate implemented rules with business stakeholders before deployment, confirming the rule measures what the
business intended.
- Maintain traceability between business requirements, implemented rules, and the subject areas and systems
they cover
Steward Enablement & Program Oversight
- Onboard and train Business Data Stewards and data owners on the decentralized alert and triage model,
including how to interpret, work, and resolve alerts in DQLabs.
- Develop and maintain steward-facing materials: triage guides, alert response expectations, escalation paths, and FAQ
documentation.
- Monitor the health of the steward network: track alert response and resolution rates, identify stale or unworked alerts,
and follow up with stewards and their leadership when triage lags.
- Manage the escalation process for data quality issues that are unclaimed, cross-domain, or exceed steward authority
to resolve.
- Gather steward feedback on alert quality and usability, feeding it back to the Data Quality Engineer for rule tuning.
Reporting, Adoption, and Communication
- Shape data quality dashboards and reporting around business subject areas so data owners can see clearly which
capability needs improvement.
- Produce recurring reporting on program effectiveness for leadership: subject-area quality and readiness scores,
rule coverage, alert volumes and trends, triage responsiveness, and open issue aging.
- Drive adoption and usability of the program: identify and cultivate the community of business consumers who
rely on data quality outputs, gather their feedback, and demonstrate the business value the program delivers
- Support organizational change management activities (communications, onboarding, stakeholder engagement)
as quality processes and dashboards roll out to business teams.
- Communicate program status, wins, and gaps to stakeholders in business-friendly terms.
Salary Range: $110,000 to $135,000 per year