> Markdown version of [/jobs/ext/3731961-business-data-consultant-hybrid](https://www.wearedevelopers.com/jobs/ext/3731961-business-data-consultant-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Data Consultant (Hybrid) - **Company:** PRINCIPAL FINANCIAL - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Salary:** $73,150.0 - $105,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Profiling, Information Systems, Data Governance, IBM DB2, Dimensional Modeling, Entity Relationship Models, Power BI, Cloud Services, SAS (Software), SQL Databases, Enterprise Data Management, Snowflake, Core Data, Information Technology, Data Analytics, Data Management - **Published:** October 14, 2026 - **Apply:** https://www.careerjet.com/job/us6c477c7c8d9ce0bf67ad1d053c2f5182/eaa ## About the Role * 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 audiences., * Experience in insurance, financial services or employee benefits distribution, especially broker and general agency ecosystems and firm hierarchies. * Experience with enterprise data catalog or governance platforms (Data360, Ataccama, Alation or similar). * Experience with data products, certification frameworks or data contracts. * Technical experience with Snowflake, AWS, DB2, SAS, Power BI ## Description The Distribution Data Governance team sits within Benefits & Protection Distribution. We are the business-side stewards of Distribution data: the firms, financial professionals and relationships that shape how Principal's products are sold, serviced and retained. We work closely with Enterprise Data & Analytics Governance, the Distribution Data Domain Steering Group, Sales Compensation Administration, Master Data Management, Privacy, Compliance and B&P Data & Analytics. Together, we make sure the data behind partner strategy, and executive decisions is clearly defined, trusted and fit for purpose. What You'll Do: * 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., * Steward mindset: You treat data as an enterprise asset, not a byproduct. * Systems thinking: You see how a definition change propagates to a calculation, dashboard or report. * Intellectual rigor: You validate first, and you show your work.