Principal Data Strategist

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of implementing the data strategy for a comprehensive enterprise data platform, ensuring daily operations align with overarching strategic objectives.

• Collaborate with upstream source-system teams and business data owners, overseeing handoffs, ingestion readiness, and the establishment of shared metadata standards.

• Lead the management of the data supply chain, encompassing source onboarding, ingestion, and transformation processes.

• Spearhead a multi-phase program aimed at enhancing metadata maturity.

• Oversee the governance of data promotion through tiered catalog layers, including raw, source, and trusted data.

• Define and implement criteria for data admission, promotion, and certification.

• Establish and uphold data quality standards across the platform.

• Collaborate with engineering, product, and AI/platform teams to facilitate self-service analytics and AI applications.

• Develop and monitor metrics related to data quality, metadata coverage, and the promotion/certification cycle time.

• Prioritize remediation initiatives based on quality and metadata metrics.

• Convey updates on strategy progress, risks, and dependencies to both technical and non-technical stakeholders, including leadership from clients.

• Engage in Agile/SAFe planning, backlog refinement, and retrospectives.

• Execute other relevant tasks as qualified and trained.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.

• A minimum of 12 years of relevant experience.

• Proven ability to coordinate multiple stakeholder teams and data owners within complex, multi-system environments.

• Experience in leading or owning the data strategy for a large, multi-source enterprise data platform.

• Familiarity with designing and managing metadata governance or maturity programs, including cataloging, ownership models, and promotion/certification criteria.

• Experience with modern cloud data platforms such as Databricks, Snowflake, AWS, or similar technologies.

• Proficient in metadata/catalog tools like Unity Catalog, Collibra, Alation, AWS Glue Data Catalog, or Microsoft Purview.

• Skilled in defining and enforcing data quality standards, including completeness, conformance, freshness, and defect tracking.

• Working knowledge of distributed data processing concepts and proficiency in SQL, Python, or Scala.

• Exceptional written and verbal communication abilities, including the capacity to translate technical data concepts for non-technical audiences.

• Professional certification in a cloud or data platform, data governance, or Agile delivery methodology.

• Required to obtain and maintain a Public Trust security clearance.

• Must be authorized to work for any employer in the U.S.

• Required to obtain a U.S. Federal Government client badge.

• Bixal does not sponsor employment visas or take responsibility for existing employment visa sponsorship.

• Preferred: experience in regulated federal data domains.

• Preferred: familiarity with responsible AI governance.

• Preferred: hands-on experience with cloud lakehouse data pipelines.

• Preferred: exposure to CI/CD, source control, and observability tools.

• Preferred: experience with data lineage and impact-analysis tools.

• Preferred: Key Personnel experience on a federal contract.

• Preferred: background in federal digital services delivery.

🏝️ Benefits

• Flexible working hours.

• 401K plan with matching contributions.

• Parental leave.

• Comprehensive medical, dental, and vision benefits.

• Flexible Spending Account.

• Company-provided short-term disability and life insurance.

• Commuter benefits.

• Paid Time Off (PTO).

• 11 paid holidays.