Master Data Management & Operations Director
SoTalent
Job Description
Master Data Management & Operations Director
\nLocation: Irving, TX, US
\nIndustry: hospital and healthcare
\nWork Setting: Hybrid
\n \nAre you passionate about transforming enterprise data into a trusted business asset, building scalable Master Data Management (MDM) capabilities, and leading organizations toward data excellence? We are seeking a Master Data Management & Operations Director to establish, lead, and continuously evolve a comprehensive MDM and data stewardship function that supports critical business domains, improves data quality, and drives enterprise-wide data governance adoption.
\nIn this role, you will combine strategic leadership with operational execution, overseeing the development of MDM capabilities, stewardship processes, data quality programs, governance frameworks, and cross-functional partnerships. You will play a critical role in advancing data maturity, improving operational efficiency, and enabling trusted data-driven decision-making across the organization.
\n \nKey Responsibilities
\nMDM Strategy & Capability Development
\n- \n
- Define and execute the Master Data Management strategy, roadmap, operating model, and adoption framework. \n
- Establish scalable MDM capabilities supporting key business domains including Product, Customer, Advisor, Party, Account, Contract, and Reference Data. \n
- Develop long-term plans that align data management initiatives with business transformation goals. \n
- Drive enterprise adoption of standardized master data practices and governance processes. \n
Organizational Leadership & Team Development
\n- \n
- Build, lead, and develop a high-performing team focused on: \n
- Master Data Management \n
- Data Stewardship \n
- Data Quality \n
- Data Operations \n
- Governance Support \n
- Establish team priorities, operating procedures, service standards, and performance metrics. \n
- Mentor team members and support professional growth and capability development. \n
- Foster a culture of accountability, collaboration, continuous improvement, and data ownership. \n
Data Governance & Stewardship
\n- \n
- Establish data ownership models, stewardship responsibilities, decision rights, and accountability structures. \n
- Develop governance processes supporting business definitions, critical data elements, hierarchies, reference data, and master data domains. \n
- Lead stewardship activities across core business domains and ensure adherence to established standards. \n
- Facilitate governance forums and stewardship reviews that drive business engagement and accountability. \n
Master Data Operations
\n- \n
- Oversee day-to-day operations supporting master data maintenance and issue management. \n
- Establish repeatable processes for: \n
- Data issue intake \n
- Triage and prioritization \n
- Root cause analysis \n
- Remediation planning \n
- Business escalation \n
- Resolution tracking \n
- Maintain stewardship playbooks, business glossaries, ownership records, and operational documentation. \n
- Ensure master data processes remain efficient, scalable, and business aligned. \n
Data Quality & Continuous Improvement
\n- \n
- Define and implement data quality frameworks, controls, scorecards, thresholds, and monitoring processes. \n
- Establish KPIs and domain health metrics that measure data reliability and business trust. \n
- Drive improvements in: \n
- Data Accuracy \n
- Completeness \n
- Consistency \n
- Timeliness \n
- Usability \n
- Data Trustworthiness \n
- Lead remediation initiatives addressing recurring data defects and operational inefficiencies. \n
MDM Platform & Technology Partnership
\n- \n
- Partner with technology, architecture, engineering, and implementation teams to support MDM platform initiatives. \n
- Define business requirements for: \n
- Data Models \n
- Matching Rules \n
- Survivorship Logic \n
- Hierarchies \n
- Workflows \n
- Governance Controls \n
- Support platform implementation, testing, operational readiness, and ongoing enhancement. \n
- Ensure business and operational requirements are incorporated into technology solutions. \n
Stakeholder Engagement & Change Leadership
\n- \n
- Collaborate closely with business leaders, technology teams, and data stakeholders across the organization. \n
- Lead communication, training, and adoption initiatives supporting governance and stewardship programs. \n
- Build consensus around data standards, ownership responsibilities, and MDM priorities. \n
- Promote organizational awareness of the value of trusted and governed master data. \n
Reporting & Executive Communication
\n- \n
- Develop executive dashboards and reporting that measure: \n
- Data Quality Performance \n
- Stewardship Effectiveness \n
- Governance Adoption \n
- Domain Health \n
- Operational Metrics \n
- Communicate risks, opportunities, adoption progress, and improvement initiatives to senior leadership. \n
- Present strategic recommendations and roadmap updates to executive stakeholders. \n
- Establish governance reporting routines that support accountability and transparency. \n
Required Qualifications
\n- \n \n
- 8+ years of experience in: \n
- Master Data Management (MDM) \n
- Data Governance \n
- Data Stewardship \n
- Data Quality Management \n
- Information Management \n
- Related Data Management Functions \n
- 3+ years of people leadership experience managing and developing teams. \n
- 3+ years of experience building, scaling, or operating MDM, governance, stewardship, or data quality programs. \n
- Strong understanding of enterprise data management principles and governance frameworks. \n
- Experience driving cross-functional initiatives and stakeholder alignment. \n
- Excellent communication, leadership, and change management skills. \n
Preferred Qualifications
\n- \n
- Experience establishing a new MDM, Data Governance, or Data Stewardship organization. \n
- Experience managing master data domains such as: \n
- Product \n
- Advisor \n
- Party \n
- Account \n
- Contract \n
- Customer \n
- Reference Data \n
- Experience implementing or enhancing MDM platforms and governance technologies. \n
- Experience leading operational data issue management and remediation programs. \n
- Knowledge of financial services, insurance, wealth management, asset management, or distribution organizations. \n
- Experience developing: \n
- Data Quality Scorecards \n
- Business Glossaries \n
- Critical Data Element Inventories \n
- Governance Frameworks \n
- Stewardship Playbooks \n
Key Skills
\n- \n
- Master Data Management (MDM) \n
- Data Governance \n
- Data Stewardship \n
- Data Quality Management \n
- Data Operations \n
- Information Management \n
- Data Strategy \n
- Data Ownership Models \n
- Data Standards Development \n
- Root Cause Analysis \n
- Data Remediation \n
- Data Quality Scorecards \n
- Business Glossaries \n
- Stakeholder Management \n
- Change Management \n
- Process Design \n
- Operational Excellence \n
- Team Leadership \n
- Executive Communication \n
- Enterprise Data Governance \n
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