This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Governance Specialist (Hands-on / Business-Facing) based in United States.
This role offers the opportunity to drive practical data governance initiatives within a regulated financial services environment.
You will work directly with business stakeholders, data owners, and technical teams to understand data challenges and translate them into actionable governance outcomes.
The position combines data governance, data quality, metadata management, data investigation, and business-facing collaboration.
You will contribute hands-on to data catalogs, ownership definitions, lineage documentation, quality improvements, and governance processes.
Rather than focusing solely on strategy, you will be expected to execute deliverables and demonstrate measurable value through practical improvements.
You will also serve as a bridge between business and technical teams, helping align priorities and ensure governance initiatives move forward.
This is an ideal opportunity for an organized, detail-oriented data professional who enjoys turning complex data challenges into clear, sustainable solutions.
Accountabilities
- Support the execution and day-to-day delivery of data management and governance initiatives across multiple business functions.
- Partner directly with business stakeholders and data owners to understand current data landscapes, business needs, challenges, and priorities.
- Capture outcomes from stakeholder discussions and translate them into clear action plans, documentation, and governance deliverables.
- Identify and prioritize high-impact, low-complexity opportunities that can demonstrate the immediate business value of effective data governance.
- Enrich and maintain enterprise data catalogs, including business definitions, ownership information, metadata, and related governance artifacts.
- Support the definition, implementation, and monitoring of data quality rules in collaboration with Data Quality and Engineering teams.
- Contribute to data lineage and metadata documentation activities to improve transparency and understanding of critical data assets.
- Coordinate governance activities across data domains and ensure agreed actions, decisions, and deliverables are completed.
- Document governance processes, business definitions, decisions, controls, and supporting artifacts clearly and consistently.
- Facilitate or participate in business-facing working sessions, acting as an effective bridge between business stakeholders and data teams.
- Support regulatory and audit-related data governance requirements by maintaining appropriate documentation, controls, and evidence.
- Use SQL and industry-standard data management tools to investigate, validate, profile, and support data-related governance activities.
Requirements
- Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, Business Analytics, or a related discipline.
- 5+ years of professional experience in Data Governance, Data Quality, Data Management, or a closely related field.
- Proven hands-on experience executing data governance initiatives within regulated environments such as financial services, banking, insurance, or similar industries.
- Demonstrated experience working directly with business stakeholders to understand data requirements, challenges, and priorities.
- Strong understanding of data governance principles, including data ownership, stewardship, metadata, and governance processes.
- Hands-on experience with data catalog and data lineage platforms such as Collibra, Alation, Informatica EDC, Azure Purview, or comparable technologies.
- Solid SQL skills for data investigation, validation, profiling, and quality analysis.
- Familiarity with data quality concepts and experience collaborating with Data Quality and Engineering teams.
- Understanding of ETL/ELT processes and modern data pipelines.
- Experience using Jira, ServiceNow, or similar platforms to manage governance tasks, issues, and workflows.
- Advanced English proficiency, both written and verbal.
- Excellent documentation and attention-to-detail skills.
- Strong interpersonal and facilitation skills, with confidence interacting with business stakeholders and leading working sessions.
- Highly organized and capable of managing multiple parallel priorities while consistently following through on deliverables.
- Practical, execution-oriented mindset with the ability to move from discussion and strategy into concrete action.
- Experience with cloud data platforms such as AWS, Azure, or GCP is a plus.
- Basic Python or scripting experience for data checks, automation, or related tasks is advantageous.
Benefits
- Full-time employment opportunity.
- Opportunity to work on data governance initiatives within a regulated financial services environment.
- Hands-on exposure to enterprise data management, data quality, metadata, lineage, and governance technologies.
- Collaboration with business stakeholders, data owners, engineering teams, and other cross-functional professionals.
- Opportunity to contribute to practical initiatives with measurable business impact.
- Professional growth through exposure to modern data engineering, analytics, cloud, and governance practices.
- Inclusive and collaborative working environment.
- Hybrid working model, depending on the applicable location and team requirements.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
