data governance lead

National Bank of Bahrain

<div>
 
 
 Job Purpose
 
 
 
 
 
 
 The role holder is responsible for establishing and institutionalizing the Bank&rsquo;s enterprise data governance framework, ensuring clear data ownership, stewardship, accountability, and control across all critical systems and data domains. The role holder will define and formalize data ownership structures across business and technology platforms, ensuring that every critical data element has a clearly assigned owner and steward. The role is accountable for governing the creation and use of data reports including departmental reports to ensure alignment with the approved &ldquo;single source of truth&rdquo; and prevent fragmented or uncontrolled data usage. This role operates at driving cross-functional alignment, enforcing governance standards, and ensuring that data assets are accurate, controlled, reconciled, and fit for business, financial, and regulatory reporting purposes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Data Ownership &amp; Accountability Framework
 
 
 <ul>
 <li>
 Establish and maintain a formal Data Ownership and Data Stewardship framework across all key banking systems and data domains.
 </li>
 <li>
 Define and document accountability for Critical Data Elements (CDEs), ensuring business owners formally accept responsibility for data accuracy and integrity.
 </li>
 <li>
 Ensure ownership structures are embedded within operational processes and governance forums.
 </li>
 <li>
 Escalate unresolved data ownership gaps to relevant governance committees.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Compliance
 
 
 <ul>
 <li>
 Support and coordinate the implementation of the bank&rsquo;s Data Governance framework, guiding teams to consistently apply governance policies across relevant data domains.
 </li>
 <li>
 Support regulatory readiness by ensuring data used for reporting aligns with supervisory guidelines.
 </li>
 <li>
 Collaborate with different stakeholders to capture and refine data requirements linked to reporting, analytics, and regulatory needs.
 </li>
 <li>
 Facilitate workshops to formalize data definitions, data usage boundaries, and Critical Data Element prioritization, ensuring alignment across departments.
 </li>
 <li>
 Provide structured analysis bridging business requirements and technical data structures, enabling accurate and consistent data consumption across systems.
 </li>
 </ul>
 
 
 
 
 
 Data Modeling &amp; Architecture
 
 
 <ul>
 <li>
 Oversee the development and maintenance of conceptual, logical, and physical data models across assigned banking domains (e.g., retail, corporate, risk, finance, treasury).
 </li>
 <li>
 Ensure models adhere to established enterprise data standards, naming conventions, and modeling methodologies.
 </li>
 <li>
 Ensure data models support large-scale, high-accuracy financial calculations and reconciliations that align with regulatory, statutory, and internal reporting requirements.
 </li>
 </ul>
 
 
 
 
 
 Data Quality, Controls &amp; Assurance
 
 
 <ul>
 <li>
 Define and operationalize Data Quality control frameworks, including profiling, validation rules, exception workflows, and remediation cycles.
 </li>
 <li>
 Lead cross‑functional efforts to resolve data issues, including root‑cause analysis, corrective actions, and long‑term data‑quality improvements.
 </li>
 <li>
 Maintain oversight of reconciliation processes across financial, operational, and regulatory data pipelines to ensure consistent, trusted data outputs. Support Model Implementation &amp; Delivery.
 </li>
 <li>
 Partner with data engineering to ensure models are correctly implemented in databases and reporting systems.
 </li>
 <li>
 Participate in system testing, UAT, and validation of data migrations and new product implementations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in in Finance, Data Analytics, Computer Science, Information Systems, or in any other subject or equivalent is required.
 </li>
 <li>
 Master&rsquo;s degree in Finance, Data Analytics, Computer Science, Information Systems, or a related field is preferred.
 </li>
 <li>
 Professional qualification in related subjects to Data Analytics, Computer Science, Data Governance is preferred.
 </li>
 <li>
 Minimum 3-4 years of practical experience in a bank or same or similar function.
 </li>
 </ul>
 
 
</div>

Data Governance Lead

Starlink Qatar

<div>
 
 The
 
 Data Governance &amp; Privacy Lead
 
 defines and drives the governance framework for data used by smart-city capabilities (including Cognitive AI). The role establishes standards for
 
 data classification, privacy-by-design, consent, retention, lineage, and controlled sharing
 
 across multi-tenant environments and multiple vendors. Working with stakeholders, security teams, and delivery vendors, the lead ensures that
 
 data products and AI pipelines comply with applicable regulations and policies
 
 , and that governance is operationalized through tooling, processes, and automated controls embedded into platform onboarding and service delivery.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define
 
 data governance operating model
 
 : roles (data owners/stewards), RACI, councils, and approval workflows.
 </li>
 <li>
 Establish standards for
 
 data classification, residency, retention, legal holds, and secure disposal
 
 across tenants.
 </li>
 <li>
 Define
 
 privacy-by-design requirements
 
 : consent management, purpose limitation, minimization, and data access controls.
 </li>
 <li>
 Drive
 
 data cataloging and metadata management
 
 (ownership, descriptions, schemas, sensitivity labels, quality scores).
 </li>
 <li>
 Define
 
 lineage and provenance requirements
 
 for data pipelines and AI artifacts (datasets, labels, embeddings, vector indexes).
 </li>
 <li>
 Specify
 
 DLP and egress control requirements
 
 for storage, APIs, and AI/RAG workflows; coordinate with Cybersecurity Architect.
 </li>
 <li>
 Define
 
 data-sharing policies and contracts
 
 (inter-agency sharing, vendor access boundaries, anonymization/masking rules).
 </li>
 <li>
 Establish
 
 data quality framework
 
 : validations, monitoring, SLA/KPIs, issue management, and remediation processes.
 </li>
 <li>
 Provide
 
 governance assurance for vendor deliverables
 
 (design reviews, acceptance criteria, compliance evidence packs).
 </li>
 <li>
 Enable
 
 operations
 
 : governance dashboards, audit reporting, periodic access reviews, and training for data owners/stewards.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <ul>
 <li>
 Strong knowledge of
 
 data governance, privacy, and compliance practices
 
 in regulated environments.
 </li>
 <li>
 Ability to
 
 operationalize governance
 
 through processes and automated technical controls (policy-as-code mindset).
 </li>
 <li>
 Understanding of
 
 modern data platforms
 
 (lakehouse, streaming, catalog/lineage) and
 
 AI data lifecycle
 
 (RAG/embeddings).
 </li>
 <li>
 Excellent
 
 stakeholder management
 
 across legal, security, business owners, and vendor teams.
 </li>
 <li>
 Strong
 
 documentation, control definition, and audit-readiness skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 ; Master&rsquo;s degree highly preferred.
 </li>
 <li>
 
 7+ years
 
 in data governance, privacy, compliance, or data management roles (government/telco preferred).
 </li>
 <li>
 Experience implementing
 
 data catalog/lineage tools
 
 and defining enterprise-wide data standards and policies.
 </li>
 <li>
 Experience with
 
 privacy controls
 
 (consent, RTBF/DSR processes, anonymization/masking, retention schedules).
 </li>
 <li>
 Background working with
 
 delivery vendors
 
 and integrating governance into program delivery and acceptance gates.
 </li>
 <li>
 Familiarity with
 
 AI data governance concepts
 
 (dataset/model cards, provenance, RAG content governance).
 </li>
 </ul>
 
 
 
 
 
 Preferred Tools
 
 
 <ul>
 <li>
 
 Data governance/catalog:
 
 Microsoft Purview (or equivalent), data classification/labeling tools
 </li>
 <li>
 
 Data protection:
 
 DLP tooling, encryption/CMK/HSM, key management (Key Vault/KMS)
 </li>
 <li>
 
 Data platforms:
 
 lakehouse (Delta/Iceberg), streaming (Kafka/Event Hubs), SQL/ETL orchestration (Airflow)
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong
 
 facilitation and consensus-building
 
 (data councils, policy workshops)
 </li>
 <li>
 Ability to
 
 translate legal/privacy requirements into actionable technical controls
 
 </li>
 <li>
 High
 
 attention to detail
 
 with pragmatic prioritization
 </li>
 <li>
 Confidence to
 
 challenge non-compliant designs
 
 and drive remediation
 </li>
 <li>
 Effective
 
 communication and training approach
 
 for non-technical stakeholders
 </li>
 </ul>
</div>

Data Governance & Privacy Lead

PROZ TECHNOLOGIES

Hello, Greetings from Proztec Qatar! I hope everything is going well with you.We are thrilled to extend multiple exciting job opportunities, and currently, we are hiring for the role of Data Lead with one of our prestigious clients in Qatar. Below, you will find details of the role, key responsibilities, and requirements.JOB OVERVIEWJOB TITLE : Data LeadLOCATION : Doha, QatarGENERAL JOB DESCRIPTION&middot; Lead TASMU Platform&rsquo;s Data Governance, Data Management and Data acquisition and Data ingestion functions&middot; Manage, protect and analyze the data collected and generated by the organization&middot; COordinate the Data Team to ensure the respect of the data privacy &amp; security standardsDUTIES &amp; RESPONSIBILITIES&middot; Oversee the collection, management, and storage of data across TASMU Platform&middot; Set the overall data management and governance strategy of every channel&middot; Define the data acquisition strategy making sure that data is sanitized, elaborated and packaged in order to maximize its utilization.&middot; Ensure data escalation, resolution, integration &amp; development in compliance with the data privacy &amp; security standards&middot; Coordinate and manage a team of data architects, data engineers and data scientists (internal) teams to promote the power of data in TASMU Platform (external)&middot; Take responsibility for the data integration corresponding to customer onboarding and for creating data sharing agreements with the potential customers&middot; Drive project and operational decisions related to data - along with OC leadership, TASMU platform team, service providers and sectors within the Smart Qatar ecosystem&middot; Participate and take an active role in Smart Qatar data governance forums and committees&middot; Drive the ongoing evolution of the TASMU data architecture and data management capabilities throughout the entire products/smart solutions lifecycle in any channel of the PlatformSKILLS &amp; ABILITIES&middot; Experience in the field of data governance, enterprise data management, business intelligence and advanced analytics preferably in the ICT sector or Smart City/Platform-driven projects&middot; Ability to outline clear directives to a team of data experts in a collaborative manner&middot; Proven track record of ensuring a sstrategic and business-oriented perspective of data management and monetisation&middot; Technical brainpower to assess and review data management capabilities&middot; Proven leadership and execution experience in large programs with multiple stakeholders&middot; Expertise in big data engineering, cloud data platform (preferably Azure), ML/AI concepts and techniques, data architecture and data governance domains (MDM, Data quality, data security, data integration etc.)If you are interested and ready to proceed, kindly share your CV in Word format along with the following details:Name:Nationality:Total Experience:Relevant Experience:Current Location:Visa Status:Current Salary:Expected Salary:Notice Period:About Proztec: Proz Technologies (PROZTEC) is a leading ICT specialist firm based in Doha, Qatar (a tax-free country) with over 300 employees. We look forward to the possibility of welcoming you to our growing team.Thanks &amp; regards, Syeda Humera Recruitment Consultant Proz Technologies M: 974-70955929 P: 974-4442-0050 Ext: 109 www.proztec.comJob Type: PermanentPay: QAR15,000.00 - QAR20,000.00 per month

Data Lead

Medical Solutions

<div>Overview:
<div>
Lead, Enterprise Data Management Analyst &ndash; Job Description</div><div>
Our team is currently looking for a Lead, Enterprise Data Management Analyst who is passionate about executing on a collaborative, agile and modern data governance program for the enterprise. You should have a passion to improve business insights and analytical value from our data through thoughtful application of data management.</div><div> 
</div><div>You will be leading the design of and delivery of master data management, data quality, and metadata management processes, standards, capabilities, and solutions that enable and promote the use of self-service analytics across the enterprise. Your mission will be to bring people across the organization together around the shared purpose of leveraging meaningful, trusted data. Through a consultative approach, you will be a trusted partner throughout the enterprise to advise on improving outcomes with trusted data.</div><div></div><div> 
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services.</div>
Responsibilities:
<ul><li>Lead execution of key data governance processes including the following: critical data asset identification, data cataloging, and monitoring</li><li>
Lead efforts to implement and maintain master data across the enterprise</li><li>
Lead and drive the data governance and management community outreach, evangelism, and training across the Analytics CoE and enterprise as well as hosting community events on data governance related topics</li><li>
Acts as a servant leader who guides the team to reach their goals</li><li>
Plan capacity at a team level</li><li>
Coordinates cross team dependencies</li><li>
Works with Product Owners/ Program Manager to prioritize and estimate effort</li><li>
Prioritizes testing within the team to ensure a high level of data and analytics quality</li><li>
Understanding of performance and scalability concerns and query plan analysis
</li><li>Participates in identifying new capabilities and new design patterns</li><li>
Leads the team on gathering requirements for data governance initiatives and projects</li><li>
Partners with the business data stewards during project delivery and on an ongoing basis</li><li>
Advocate for participation from business areas in data governance activities</li><li>
Designs and develops agile solutions to measure data quality and data governance effectiveness and summarizes and presents this in an effective manner to stakeholders and data governance forums</li><li>
Identify, assess, monitor, document, and communicate potential quality issues in the way data is collected, stored, processed, or used</li><li>
Lead problem solver for the team</li><li>
Participates in architectural design discussions</li><li>
Mentors less experienced Data Governance Analysts</li><li>
Stay up to date on data governance trends and employ industry (and company) best practices</li><li>
Be a resource to teammates and the organization as a subject matter expert in data governance and data management</li><li>
Facilitate the definition of business KPIs and be a change agent where standardization needs to occur</li><li>
Agent for change to improve business and IT processes</li><li>
Has a strong understanding of specific areas of the business that the team supports</li><li>
Enforces industry and company best practices within the team</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Management Information Systems, Data Analytics, or related field or equivalent work experience</li><li>
7+ years of experience working in data management and data governance roles</li><li>
Strong experience with various MDM methodologies and tooling, data catalogs, and data quality tooling with modern cloud approaches (Azure preferred)</li><li>
Experience working with relational database systems</li><li>
Advanced knowledge and practice of SQL
</li><li>Working knowledge of data visualization tools, with preference to PowerBI</li><li>
Working knowledge of data preparation and data transformation (for BI/analytics) approaches</li><li>
Experience with Microsoft Office Suite</li><li>
Strong customer service skills</li><li>
Strong planning and management skills</li><li>
Critical thinker and analytical</li><li>
Demonstrated problem solving techniques</li><li>
Strong verbal and written communication skills</li></ul><div></div><div> 
Preferences:</div><ul><li>
Experience with Master Data Management and Data Quality platform Reltio</li><li>
Vendor tool evaluation and selection experience.</li><li>
Familiarity with architecture tools like LeanIX</li></ul>
#LI-AN1
Pay Range: USD $130,000.00 - USD $160,000.00 /Yr.</div>

Lead, Enterprise Data Management Analyst

<div>
 
 Job Description:
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Lead and support data governance initiatives, ensuring alignment with enterprise data strategy and regulatory compliance.
 </li>
 <li>
 Act as a trusted advisor to business and IT stakeholders, providing guidance on governance frameworks, policies, and best practices.
 </li>
 <li>
 Gather, analyze, and document business requirements for data governance, data cataloging, data quality, and metadata management programs.
 </li>
 <li>
 Collaborate with data stewards, data owners, and technical teams to define roles, responsibilities, and workflows for governance processes.
 </li>
 <li>
 Drive adoption and change management for governance tools and practices across business units.
 </li>
 <li>
 Support implementation and configuration of data governance platforms (e.g., Informatica Axon/EDC, Collibra, Alation).
 </li>
 <li>
 Define data quality rules, metrics, and dashboards; facilitate remediation of data issues.
 </li>
 <li>
 Develop and maintain governance artifacts such as data dictionaries, lineage documentation, and stewardship workflows.
 </li>
 <li>
 Conduct stakeholder workshops, training sessions, and awareness programs to promote governance maturity.
 </li>
 <li>
 Provide insights and recommendations for improving governance processes and operational efficiency.
 </li>
 <li>
 Track program KPIs, prepare status reports, and escalate risks to leadership as needed.
 </li>
 <li>
 Stay informed on industry trends, emerging technologies, and regulatory changes impacting data governance.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills Required
 
 
 
 
 
 <ul>
 <li>
 Strong understanding of Data Governance principles, frameworks, and regulatory compliance requirements.
 </li>
 <li>
 Knowledge of data quality concepts, profiling techniques, and remediation processes.
 </li>
 <li>
 Familiarity with data lineage, classification, and stewardship models.
 </li>
 <li>
 Excellent business analysis skills: requirements gathering, stakeholder engagement, and documentation.
 </li>
 <li>
 Ability to translate business needs into technical specifications for governance tools and workflows.
 </li>
 <li>
 Strong communication, facilitation, and presentation skills for cross-functional collaboration.
 </li>
 <li>
 Analytical mindset with problem-solving skills and attention to detail.
 </li>
 <li>
 Exposure to data architecture, data modeling, and enterprise data strategies.
 </li>
 <li>
 Conceptual understanding and hands-on experience of using data cataloging and metadata management tools (e.g., Informatica EDC/Axon, Collibra, Alation).
 </li>
 <li>
 Experience with reporting and visualization tools for tracking governance KPIs (e.g. Excel, Power BI, Tableau).
 </li>
 <li>
 Experience in consultative roles, providing strategic recommendations and influencing senior stakeholders.
 </li>
 <li>
 12-20 years of overall IT experience in Data &amp; Analytics with 8-10 years specifically working on multi-year/E2E/greenfield Data Management (Data Governance, Metadata Management &amp; Cataloging, Data Quality, Master/Reference Data Management) programs &amp; rollouts.
 </li>
 <li>
 Excellent verbal and written communication skill.
 </li>
 <li>
 Highly Desired secondary skill: Experience as a Scrum Master/Project Manager/Program Manager managing Data Governance projects/workstreams, with knowledge of Agile and hybrid delivery models, project planning, tracking &amp; reporting, risks issues dependencies management, stakeholder management.
 </li>
 <li>
 Highly Desired secondary skill: Experience of working with middle-east customers and regulations like NDMO, NDI, PDPL.
 </li>
 <li>
 Highly Desired secondary skill: Experience of Data Privacy regulations and project rollouts.
 </li>
 </ul>
 
 
</div>

Data Governance Consultant

<div>
 
 
 DUTIES &amp; RESPONSIBILITIES
 
 
 
 
 
 <ul>
 <li>
 Lead governance programs/initiatives for Government Platform
 </li>
 <li>
 Supervise the integrity of governance definitions on cross-functional interactions
 </li>
 <li>
 Formalize governance standards across for Government Platform (including policies, data models, business rules,&hellip;)
 </li>
 <li>
 Supervise the process of monitor and enforce compliance of governance rules and standards
 </li>
 <li>
 Play for a variety of roles across the data management cycles in support of busines simulation and steady state operations &ndash; power user, data custodian and stewardship roles
 </li>
 <li>
 Perform non-standard analysis to identify anomalies in data and liaise with sectorial data stewards to support data quality management
 </li>
 <li>
 Support data classification and metadata/glossary mgt. for published data sources to enable data discovery and meaningful information
 </li>
 <li>
 Support communication and education to data users on appropriate use and protection of data
 </li>
 </ul>
 
 
 
 
 
 SKILLS &amp; ABILITIES
 
 
 
 
 
 <ul>
 <li>
 Strong knowledge of traditional
 
 relational databases
 
 and
 
 Big Data
 
 environments, analytical and problem-solving skills and thorough understanding of the data life cycle
 </li>
 <li>
 Solid understanding of data protection and
 
 data security policies
 
 </li>
 <li>
 Ability to
 
 standardise data templates
 
 for reports and dashboards mediating with all stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 
 
 POTENTIAL TALENT'S BACKGROUND
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Information Technology, Computer Science, Business administration or relevant discipline
 </li>
 <li>
 10+ years of working experience in designing and developing MDM applications, metadata management, data architecture, data quality and data lineage
 </li>
 </ul>
 
 
 
 
 
 PREFERRED TOOLS
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (full Ecosystem)
 </li>
 </ul>
 
 
 SOFT SKILLS
 
 
 <ul>
 <li>
 Managing People
 </li>
 <li>
 Achieving Results
 </li>
 <li>
 Professional Orientation
 </li>
 <li>
 Business Thinking
 </li>
 </ul>
</div>

Data Governance Administrator

The Doctors Company

<div>The Doctors Company is seeking a Senior Governance Specialist to join our team. This is a hybrid or remote opportunity depending on the final candidate's location from the company's offices.

The Senior Governance Specialist is responsible for designing, deploying, and operationalizing enterprise data governance programs across the organization. This role owns the hands-on implementation of governance frameworks, metadata management, data lineage, data quality controls, and stewardship models &mdash; working across platforms, business units, and regulatory requirements to ensure that data is trusted, traceable, compliant, and analytics-ready. The role operates in a platform-agnostic manner, applying governance best practices regardless of the tooling the enterprise adopts, and serves as the primary execution anchor for the governance program. 


Required Qualifications:
<ul>
<li>10+ years of experience in data governance, metadata management, or data management, with at least 5 years in a hands-on implementation role</li>
<li>Demonstrated experience implementing enterprise governance frameworks aligned to DAMA-DMBOK, DCAM, or equivalent standards</li>
<li>Deep hands-on expertise with at least two enterprise governance or metadata catalog platforms (e.g., Collibra, Microsoft Purview, Alation, Atlan, Informatica Axon, IBM Knowledge Catalog, or equivalent)</li>
<li>Experience configuring governance operating models: data domains, stewardship communities, ownership workflows, RACI frameworks, and policy enforcement mechanisms</li>
<li>Proven ability to build and manage Business Glossaries, Critical Data Elements (CDEs), data dictionaries, and classification taxonomies at enterprise scale</li>
<li>Hands-on experience implementing automated end-to-end data lineage from source systems through transformation layers to reporting and analytics outputs</li>
<li>Experience establishing data quality frameworks: rule definition, profiling, automated controls, quality scorecards, and issue management workflows</li>
<li>Integration experience connecting governance platforms to cloud data platforms, ETL/ELT pipelines, data warehouses, BI tools, and source systems</li>
<li>Demonstrated regulatory compliance delivery: GDPR, HIPAA, SOX, SOC 2, CCPA, or equivalent, including audit-readiness evidence and data classification controls</li>
<li>Experience embedding governance controls into CI/CD and DevOps pipelines, enabling automated policy enforcement at the point of data delivery</li>
<li>CDMP certification (DAMA) or equivalent formal governance credential</li>
<li>Strong stakeholder communication skills: able to translate governance requirements into accessible language and drive adoption across technical and non-technical audiences</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience in financial services, healthcare, insurance, or other highly regulated industries</li>
<li>Familiarity with AI and ML governance concepts: model lineage, feature store governance, bias/fairness documentation, and NIST AI RMF alignment</li>
<li>Experience developing SOPs, onboarding guides, governance playbooks, and training materials that enable sustainable stewardship programs</li>
<li>Familiarity with DataOps and data product patterns (Data Mesh, Data-as-a-Product)</li>
<li>MS or BS in Computer Science, Information Systems, Data Management, or related field</li></ul> 


Responsibilities:

Governance Framework &amp; Metadata Management
<ul>
<li>Design and deploy enterprise data governance frameworks aligned to DAMA-DMBOK or DCAM, including operating model, decision rights, policies, and standards &mdash; platform-agnostic in approach.</li>
<li>Configure and administer governance platforms to support business glossaries, data domains, critical data elements (CDEs), data dictionaries, and stewardship workflows.</li>
<li>Establish metadata management strategies: automated harvesting, enrichment, classification, and ownership assignment across enterprise data assets.</li>
<li>Measure and report governance KPIs, maturity metrics, catalog adoption, and stewardship coverage to governance leadership and business stakeholders.</li>
</ul>
Data Lineage, Classification &amp; Regulatory Compliance
<ul>
<li>Implement and maintain automated end-to-end data lineage from source systems through all transformation layers to reporting, analytics, and AI/ML outputs.</li>
<li>Ensure full traceability and impact analysis for critical data elements, supporting both operational and regulatory audit requirements.</li>
<li>Map governance controls to applicable regulatory frameworks, maintaining a living control-to-requirement traceability matrix and audit-readiness artifacts.</li>
<li>Partner with Legal, Compliance, Privacy, and Security teams to ensure governance controls align with organizational risk posture and evolving regulatory requirements.</li>
</ul>
Data Quality Framework &amp; Pipeline Governance
<ul>
<li>Define and operationalize data quality frameworks: profiling rules, thresholds, completeness and accuracy checks, scorecards, and automated issue management workflows.</li>
<li>Embed governance and quality controls directly into data engineering pipelines and CI/CD workflows, ensuring governance is part of the delivery process rather than a post-hoc review.</li>
<li>Partner with operations and engineering to reduce data incidents, latency, and reliability gaps through systematic root-cause resolution.</li>
</ul>
Governance Platform Operations &amp; Tool Integration
<ul>
<li>Serve as subject matter expert and primary administrator for the enterprise&rsquo;s governance tooling ecosystem &mdash; evaluating, configuring, optimizing, and supporting platforms as organizational needs evolve.</li>
<li>Integrate governance platforms with cloud data platforms, ETL/ELT pipelines, data warehouses, BI tools, and source systems to ensure seamless metadata flow and governance coverage.</li>
<li>Continuously evaluate tooling modernization opportunities and maintain platform governance: access controls, configuration documentation, and performance optimization.</li>
<li>Support BI and analytics delivery to business functions through reliable, governed data foundations as needed.</li>
</ul>
Stewardship Enablement, Adoption, Stakeholder Alignment, Other Duties as Assigned
<div>
<ul><li>Onboard, enable, and continuously support data stewards and data owners across business units &mdash; defining RACI models, conducting training, and building governance playbooks that make stewardship sustainable.</li></ul>
<ul><li>Drive culture of governance and data-driven discipline across the organization: identify early adopters, run focused pilots, demonstrate measurable value, and build peer-to-peer advocacy across business domains.</li></ul>
<ul><li>Provide clear, transparent communication and structured engagement routines with governance leadership and business stakeholders.</li></ul>
<ul><li>Develop teams, training materials, and documentation as necessary to drive a strong data governance culture across the business.</li></ul></div> 


Salary Range: $109,253 - $143,394. Compensation varies based on skills, knowledge, and education. We consider factors such as specialized skills, depth of knowledge in the field, and educational background to ensure fair and competitive pay. 


 Benefits

We offer competitive compensation, an incentive bonus plan, outstanding career opportunities, an exceptional work environment, and an impressive benefits package, which starts with medical, family and bereavement leave; same-sex domestic partner benefits; short- and long-term disability programs; and an employee assistance program. There's more:
<ul>
<li>Health, dental, and vision insurance</li>
<li>Health care tax-free spending accounts with a company match</li>
<li>401(k) and Roth IRA with company match, as well as catch-up plans for both</li>
<li>Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service)</li>
<li>Paid holidays each calendar year</li>
<li>Life and travel insurance</li>
<li>Tax-free commuter benefits</li>
<li>In-person and online learning opportunities</li>
<li>Cross-function career opportunities</li>
<li>Business casual work environment</li>
<li>Time off to volunteer</li>
<li>Matching donations to qualifying nonprofit organizations</li>
<li>Company-sponsored participation at non-profit events</li></ul> 


 About The Doctors Company

The Doctors Company is the nation&rsquo;s largest physician-owned medical malpractice insurer. Founded and led by physicians, we are committed to advancing, protecting, and rewarding the practice of good medicine.

The Doctors Company is proud to be Certified&trade; by Great Place to Work&reg;.</div>

Senior Governance Specialist

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