Business Data Consultant (Hybrid)

Responsibilities

• Serve as a Data Steward for Distribution subdomains, including Firm, Financial Professional and Distribution Relationships.
• Represent B&P in sub-domain working groups and bring recommendations to the Distribution Data Domain Steering Group.
• Write, refine and move business term definitions, data quality rules, taxonomy structures and entity relationship diagrams through certification.
• Settle conflicting definitions across business units.
• Link certified business terms to technical attributes in the enterprise data catalog, so definitions, classifications and quality standards carry through to the systems and data products that use them.
• Help designate Core Data Elements and Key Joining Attributes.
• Help data products built on the Enterprise Data Foundation reach full governance scores and certification.
• Lead root-cause analysis and remediation with Data Custodians, engineering and operations partners.
• Turn recurring issues into lasting controls instead of one‑off fixes.
• Govern firm hierarchies, parent‑child rollups and relationship mappings through acquisitions, consolidations and restructures.
• Assess downstream impacts on policy ownership, attribution and reporting.
• Contribute to data governance communities of practice, maturity scoring, newsletters and data literacy efforts.
• Mentor analysts and raise the team's governance fluency.

Qualifications

• Bachelor's degree in Information Systems, Analytics, Finance, Business, Computer Science or a related field, or equivalent experience.
• 4+ years of related work experience, with three years proven experience with a combination of reporting, analysis, development and administration.
• Intermediate SQL, including profiling, validating and reconciling large datasets in cloud data platforms.
• Working knowledge of data governance disciplines: metadata, business glossary, data quality rules, lineage, classification and master data.
• Data modeling literacy: ERDs, cardinality, primary, foreign and surrogate keys, and dimensional modeling.
• Proven ability to lead working sessions to decisions and to translate between business, technical and executive