Senior Engineer

• 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.

· 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

· 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.

· 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.

Range: $110,000 to $135,000 per year