Role Description The Senior Data Governance Analyst / Data Steward leads enterprise data governance, data quality, and metadata management initiatives within a regulated financial services environment. This role acts as a key liaison between business and technical teams to ensure data is accurate, trusted, compliant, and effectively managed across its lifecycle. Key Responsibilities - Data Governance & Stewardship - Serve as Data Steward for assigned domains and governance initiatives - Act as liaison across business, Data Engineering, Risk, Compliance, and Security - Support governance committees and promote enterprise data standards - Data Quality Management - Identify and resolve data quality issues - Define and monitor data quality metrics and KPIs - Drive root cause analysis and remediation efforts - Metadata & Data Cataloging - Maintain business glossaries, data dictionaries, and metadata repositories - Support data catalog and lineage documentation initiatives - Document source-to-target mappings and data flows - Data Lineage & Controls - Maintain data lineage within Databricks / Unity Catalog - Document data transformations, dependencies, and ownership - Support impact assessments for system and data changes - Regulatory Compliance & Risk - Ensure compliance with GLBA, NCUA, FFIEC, CFPB, and security standards - Support audits and regulatory reviews - Partner with Risk and Compliance teams on governance controls - Data Access Governance - Review and approve data access requests - Support RBAC and data protection requirements - Ensure secure and compliant data usage - Stakeholder Engagement & Training - Educate stakeholders on governance policies and data standards - Facilitate collaboration between business and technical teams - Provide training on data quality and stewardship practices Qualifications - Bachelor’s degree in a relevant technical or data-related field - 5+ years of experience in data governance, data stewardship, or data management - 5+ years of experience in financial services or other regulated industries - Strong experience with: - Data governance frameworks and stewardship - Data quality management and metadata management - Data lineage, catalogs, and business glossaries - Experience with Databricks, Unity Catalog, SQL, and data warehousing - Knowledge of financial regulatory frameworks (GLBA, FFIEC, NCUA, etc.) - Strong stakeholder communication and collaboration skills Preferred Qualifications - Data governance certifications (DAMA CDMP, DGSP) - Experience with MDM and enterprise governance programs - Experience implementing data catalog or metadata platforms - Strong background in financial services data environments Core Skills & Attributes - Strong governance, data quality, and compliance mindset - Ability to bridge business and technical teams effectively - Strong analytical, problem-solving, and root-cause analysis skills - Excellent communication and stakeholder management - High attention to detail and documentation discipline - Ability to drive governance adoption and continuous improvement Benefits - Competitive salary - Remote (Candidates must reside in CT, NY, MA, or PA) - Senior Level (5+ years in data governance / financial services) This is a remote position.

• Support the transformation of the commercial organization through customer segmentation, go to market models design, sales strategy, and customer analytics. • Drive commercial strategy through commercial analytics, executive reporting, and market insights that identify growth opportunities, client trends, and areas of strategic focus. • Build scalable dashboards, performance metrics, and account intelligence frameworks that support commercial decision-making across Client Success and cross-functional stakeholders. • Analyze and synthesize market, client, adoption, and revenue data to deliver actionable insights and forward-looking business recommendations. • Conduct market sizing, segmentation, whitespace, and competitive analysis to support strategic planning and prioritization. • Partner cross-functionally with Client Success, Sales, Finance, Product, Business Intelligence, and Data teams to improve alignment across forecasting, planning, and commercial priorities. • Design and operationalize standardized reporting, analytics frameworks, and planning methodologies that improve consistency and scalability across teams. • Drive adoption and enablement of dashboards, tools, and analytics capabilities to improve visibility, decision-making, and execution. • Continuously improve reporting workflows, data quality, and insight delivery processes to support operational efficiency and business impact. • Support forecasting and demand planning processes through accurate, insight-driven analytics and standardized inputs. • Monitor commercial performance trends, client engagement signals, and revenue pacing to proactively identify risks and opportunities. • Develop methodologies and tracking mechanisms that measure business performance, account health, and strategic progress. • Translate analytics into clear recommendations and action plans that support client growth, commercial performance, and operational priorities.

• Participate in the development and implementation of commercial strategies for Datavant. • Collaborate with cross-functional teams to identify and act on key analytical results. • Analyze market trends and competitive landscape to inform strategic decisions.

• Anforderungsaufnahme, Beratung, Softwareentwicklung sowie technische Umsetzung in Kundenprojekten rund um Daten, Big Data, Data Analytics, Data Science sowie Business Intelligence. • Modellierung und Optimierung von Datenarchitekturen und BI-Systemlandschaft der Kunden. • Durchführung interner und externer Coachings, Trainings und Mentoring für Young Professionals bei entsprechender Berufserfahrung. • Kundenworkshops, Reviews und Analysen sowie Pre-Sales-Aktivitäten zur Kundengewinnung und -bindung.