Salary : $126,244.00 - $195,677.00 Annually
Location : 2223 E. Wellington Ave. Suite #100 Santa Ana, CA
Job Type: Full-Time
Remote Employment: Flexible/Hybrid
Job Number: 8028MR-1126-157(O)
Department: Orange County Employees Retirement System
Opening Date: 11/03/2026
Closing Date: Continuous
CAREER DESCRIPTIONOPEN TO THE PUBLICEnterprise Data ManagerApplications will be accepted on a continuous basis until the needs of OCERS have been met.The first round of application review will take place on
Monday, November 23, 2026. Interested applicants are strongly encouraged to apply by this date to be included in the first review. Applications received after November 23 will be reviewed on an as-needed basis.
OCERS offers a competitive benefits package, a defined benefit pension plan which has reciprocity with the Public Employees Retirement System (PERS), and a deferred compensation 457 plan. OCERS offers up to an annual $10,000 Educational and Professional Reimbursement, a $3,500 taxable optional benefit plan, annual leave, and a flexible/hybrid work schedule.
THE OPPORTUNITYOCERS is seeking a qualified candidate for the position of
Enterprise Data Manager to lead OCERS' enterprise data strategy, governance, quality, architecture, and analytics capabilities. Reporting directly to the Director of Information Technology, this upper management position is accountable for building and governing OCERS' enterprise data estate and for ensuring that pension, member, employer, financial, and operational data is trusted, secure, accessible, and fit for business use.
The Enterprise Data Manager will partner closely with Member Services, Employer Services & QA, participating employers, Information Technology, project teams, and implementation partners to ensure the data supporting OCERS' Horizon Pension Administration System is accurate, timely, reconciled, and ready for pension administration. The position will establish standards and controls that improve data quality at its source, reduce downstream corrections and manual work, and support efficient, accurate service to OCERS members.
This position will also establish and lead a formal data stewardship program, partnering with business data owners and departmental stewards across OCERS to define data standards, maintain data quality, and build data literacy. The enterprise data estate and analytical tools are enabling capabilities; the primary outcome is trusted data that improves pension administration, operational performance, decision-making, and member service.
GENERAL DUTIESUnder the general direction of the Director of Information Technology, the Enterprise Data Manager oversees the Data Analyst classification and may manage additional analytical staff, contractors, and specialized service providers. Duties may include, but are not limited to, the following:
Enterprise Data Strategy and Governance- Develop and maintain an enterprise data strategy and prioritized roadmap aligned with OCERS' Strategic and Business Plans, the Horizon implementation, and member-service objectives.
- Develop and maintain OCERS' enterprise data governance framework, including ownership and stewardship, classification, access, retention, metadata, master and reference data, and data quality standards.
- Maintain a data catalog, business glossary, lineage, and authoritative-source designations so staff can discover, understand, and trust OCERS data.
Horizon/PAS Data Migration, Reconciliation, and Business Validation- Lead OCERS' data readiness, migration, reconciliation, and business validation activities for Horizon in partnership with business units, IT, project teams, and implementation partners.
- Establish data conversion governance, including source-to-target mappings, transformation rules, reconciliation methodologies, exception handling, audit evidence, and business acceptance criteria.
- Oversee data profiling, cleansing, mock conversions, parallel validation, cutover readiness, and post-production stabilization, and coordinate formal sign-off by data owners and subject matter experts.
Member Services and Participating Employer Data Quality- Partner with Member Services and Employer Services & QA to establish and improve employer reporting requirements, data standards, submission specifications, and validation rules.
- Work directly with participating employers and payroll providers to identify recurring data quality issues, determine root causes, and implement sustainable corrective actions.
- Drive controls as close to the source as practical to prevent errors that create downstream manual work, benefit-processing delays, or member-service impacts.
Enterprise Data Quality Management- Establish an enterprise data quality management program for critical pension, member, employer, financial, and operational data.
- Define critical data elements, business rules, quality thresholds, exception ownership, and escalation procedures, supported by transparent monitoring and remediation plans.
Data Estate Development and Architecture- Design, build, and manage OCERS' centralized enterprise data estate using Microsoft Fabric or an equivalent cloud-based platform.
- Develop and oversee data pipelines, ETL/ELT processes, APIs, and integration patterns connecting Horizon, legacy systems, financial and HR systems, and employer submissions.
- Monitor platform performance, capacity, reliability, and costs, and direct specialized architecture and engineering vendors when needed.
Analytics, Semantic Models, and Reporting- Own the lifecycle and prioritization of OCERS' reporting and dashboard portfolio, from requirements and design through testing, certification, deployment, and adoption.
- Develop or oversee Power BI dashboards and governed semantic models for the Board of Retirement, executive leadership, department directors, employers, and operational staff.
- Enable governed self-service analytics through curated datasets, role-appropriate access, and training.
Data Stewardship and Literacy- Design, launch, and continuously improve a formal data stewardship program across OCERS departments, including role definitions, onboarding, training, and escalation pathways.
- Build data literacy so managers and staff can interpret, validate, and appropriately use data in daily work and decision-making.
Security, Privacy, Records, and Compliance- Ensure data platforms, integrations, and stewardship practices comply with applicable privacy, public records, records-retention, cybersecurity, audit, and OCERS Board policy requirements.
- Partner with Information Security, Legal, and Internal Audit to classify sensitive data, implement least-privilege access, and maintain audit-ready evidence.
Management, Vendor Leadership, and Innovation- Manage enterprise data team members, including performance, workload, training, professional development, and succession planning.
- Manage vendors and service agreements related to data conversion, Fabric, integration, governance, and analytics, including deliverables, acceptance criteria, and knowledge transfer.
- Evaluate and responsibly apply AI, automation, and machine learning to improve data quality, anomaly detection, forecasting, and productivity.
- Perform other related duties as assigned.
THE IDEAL CANDIDATEThe ideal candidate will be an experienced data leader who connects data work to measurable outcomes, such as fewer exceptions, faster processing, reduced manual effort, improved accuracy, and better member service. They will bring hands-on depth in enterprise data platforms and analytics, along with the judgment to balance governance rigor with usability, adoption, and practical operational needs.
The successful candidate will build effective working relationships across OCERS, sustain accountability among stakeholders who do not report directly to the position, and work constructively with participating employers, payroll providers, consultants, and vendors.
The candidate must demonstrate experience and proficiency in the following key competencies:
Data Governance and Quality Leadership- Enterprise data governance, stewardship, quality management, metadata, lineage, cataloging, and master and reference data practices.
- Ability to define measurable data quality standards and drive sustainable improvements at the source.
Data Migration and Reconciliation- Large-scale system migration and reconciliation, preferably involving pension, benefits, financial, payroll, or other regulated data.
- Ability to maintain traceability from source data through transformation, target loading, business validation, and formal acceptance.
Technical Platform and Analytics Expertise- Microsoft Fabric or an equivalent enterprise data platform, such as Azure Synapse, Databricks, or Snowflake.
- Power BI, including semantic models, DAX, Power Query, workspace administration, security, and certified content deployment.
- SQL Server/T-SQL and relational database querying; ETL/ELT, API, and secure file-exchange patterns; and fit-for-purpose data modeling approaches.
Communication and Collaboration- Ability to communicate complex technical and analytical concepts clearly to Board members, executives, managers, operational staff, employers, consultants, and vendors.
- Ability to translate member-service, employer-service, pension-administration, and executive needs into clear data priorities, controls, and analytical products.
Leadership and Management- Ability to manage and develop staff, direct vendors, prioritize concurrent initiatives, exercise sound judgment, and maintain strict confidentiality and professionalism.
MINIMUM QUALIFICATIONSEducation and ExperienceA Bachelor's degree from an accredited college or university in Data Science, Computer Science, Business Analytics, Information Systems, Statistics, or a closely related field;
ANDFive (5) years of progressively responsible professional experience in data analytics, business intelligence, data governance, data quality, or data engineering, including at least two (2) years in a management, lead, or supervisory capacity responsible for a team or significant enterprise data initiative.
ORSeven (7) years of progressively responsible experience in data analytics, business intelligence, data governance, data quality, or data platform development, with a demonstrated record of independently leading enterprise-scale data initiatives, in lieu of the degree requirement.
Special Notes, Licenses, or Requirements
- A valid California Class C driver's license or the ability to arrange necessary and timely transportation for field travel; use of a personal vehicle may be required.
- A complete background investigation is required; a felony or misdemeanor conviction may be a disqualifying factor from employment.
Please click for details on the Enterprise Data Manager classification.
Highly Desirable Qualifications- Experience with defined-benefit pension administration, retirement benefits, public-sector payroll or employer reporting, or a similarly regulated financial-services environment.
- Demonstrated leadership of data migration, reconciliation, business validation, and cutover for a large-scale system implementation.
- Experience working with external data providers, employers, or payroll vendors to improve upstream data quality and implement sustainable data exchanges.
- Experience designing and operating formal data governance, stewardship, and data quality programs with measurable outcomes.
- Production experience with Microsoft Fabric, Azure Synapse, Databricks, or comparable platforms.
- Relevant certifications such as CDMP, Microsoft Fabric Analytics Engineer Associate, Power BI Data Analyst Associate, Azure Data Engineer Associate, Azure Solutions Architect, PMP, or equivalent.
PHYSICAL AND ENVIRONMENTAL CONDITIONSPhysical and Mental Requirements- Speak and hear well enough to communicate clearly and understandably in person, by telephone, and in small or large groups.
- Manual dexterity sufficient to operate standard office equipment and use a keyboard and mouse for prolonged periods.
- Mental stamina to interact professionally with Board members, department directors, participating employers, peers, consultants, vendors, and retirement system members.
- Vision sufficient to read fine print and computer screens; ability to sit for prolonged periods and lift or carry up to 15 pounds.
Environmental ConditionsPrimary work is performed in an office environment using standard office equipment. The position operates in an environm
