Data Management Lead- Data Consumption & Semantic Layer

Job Description

The Data Management Lead - Consumption & Semantic Layer is responsible for defining and operationalizing enterprise data consumption standards across the Lakehouse ecosystem. This role bridges enterprise data platforms and business users by transforming data into trusted, reusable, and governed data products through semantic models, certified datasets, and standardized access patterns.

The role will drive consistency, performance, and adoption across reporting and analytics platforms while enabling a single source of truth for enterprise decision-making.
Key Responsibilities

• Own the enterprise consumption layer, including semantic models, certified datasets, and reporting assets.
• Define and implement standardized data access and consumption patterns.
• Establish governance, service levels, and operational standards for data consumption.
• Partner with Data Governance to ensure consistent business definitions and a single source of truth.
• Enable self-service analytics through scalable and governed data products.
• Drive performance optimization and adoption across Tableau, Power BI, WebFocus, and other BI platforms.

Key Deliverables

• Enterprise Semantic Layer Strategy & Standards
• Data Consumption Playbook (Design, Governance, and Operating Model)
• Certified BI Dataset Catalog (Tableau, Power BI, WebFocus)
• Performance and Optimization Standards for Semantic Models and BI Assets
• Consumption SLA & Governance Framework
• Enterprise Metrics and Business Definitions Repository

Success Measures

• Increased adoption of certified datasets and semantic models
• Improved consistency and trust in enterprise reporting
• Reduced duplication of metrics and reporting logic
• Scalable self-service analytics with strong governance controls
• Achievement of established performance and service-level targets

Preferred Experience

• Leadership experience in enterprise data management, analytics, or BI environments
• Expertise in semantic modeling, data consumption architecture, and data governance
• Experience with Lakehouse, modern data platforms, and enterprise reporting tools
• Strong ability to influence stakeholders and lead cross-functional initiatives
• Proven track record delivering scalable, governed data products and analytics solutions

Hours & Work Schedule

• Hours per Week: 40
• Work Schedule: Monday-Friday
• Hybrid: 4 days per week on-site, 1 day remote

About Us

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family statparenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.