Senior Data Governance Specialist (Hands-on / Business-Facing)

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.