Director, Data & Analytics

JOB TITLE: Director, Data & Analytics

LOCATION: Corporate Headquarters – Johnstown, CO

(Position is hybrid but must be commutable/accessible to corporate headquarters in Northern Colorado.)

REPORTS TO: Vice President, Information Technology

FLSA STATUS: Salaried, Non-Exempt

FUNCTION: Responsible for the technical leadership, delivery oversight, prioritization, and operational maturity of the company’s data warehouse, pipelines, semantic models/cubes, and data experience layers.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.

• Leadership and Team Management
  • Lead, coach, and develop the Data & Analytics team, including developers and related technical resources.
  • Provide clear direction, work planning, prioritization, and performance management for the team.
  • Establish team standards, operating rhythms, delivery practices, and documentation expectations.
  • Serve as escalation point and technical backstop for warehouse, pipeline, model/cube, and reporting work.
  • Build cross‑training and redundancy so function is sustainable and not dependent on any one individual.
• Data & Analytics Strategy and Delivery
  • Own the delivery and support of enterprise data and analytics solutions, including:
    • data warehouse architecture and administration
    • data integration and pipelines
    • semantic models and cubes
    • enterprise reporting and dashboards
  • Guide solution design to ensure data products are scalable, secure, maintainable, and business-aligned.
  • Oversee the intake, assessment, prioritization, and execution of analytics initiatives.
  • Maintain a roadmap for data and analytics capabilities that supports operational, financial, risk, HR, environmental, and executive reporting needs.
  • Ensure analytics delivery is treated as an enterprise capability serving the whole business, rather than a narrow sub-function of IT or any single department.
• Technical Leadership
  • Provide technical oversight and practical guidance in:
    • enterprise data warehousing
    • ETL/ELT and data pipeline design
    • dimensional modeling and semantic layer design
    • cubes and analytical data structures
  • Power BI datasets, reports, dashboards, governance, and performance tuning
  • Review architecture and design decisions to promote reliability, usability, scalability, and supportability.
  • Partner closely with Software Development to define, obtain, and improve operational data sources needed for analytics solutions.
  • Work with IT leadership to establish standards for data quality, metadata, naming, lineage, security, and lifecycle management.
  • Support troubleshooting and continuity of delivery by being capable of guiding, reviewing, and backing up the team’s technical work when needed.
• Business Engagement and Relationship Management
  • Translate business goals into practical data and analytics solutions.
  • Partner with stakeholders across the company to clarify needs, define requirements, and manage expectations.
  • Serve as a primary liaison between technical teams and business partners for enterprise reporting and analytics initiatives.
  • Help stakeholders understand priorities, tradeoffs, dependencies, and delivery timelines.
• Project Management, Analysis, and Quality
  • Apply strong project management discipline to analytics initiatives, including planning, scope definition, milestone tracking, issue management, and status communication.
  • Perform or oversee business analysis activities such as requirements gathering, process review, use‑case development, and solution validation.
  • Establish and enforce QA practices for data and analytics solutions, including testing strategy, reconciliation, validation, user acceptance support, and release readiness.
  • Promote high‑quality outputs by ensuring reports, models, and pipelines are accurate, understandable, and fit for business use.
• Advanced Analytics, AI, and Enablement
  • Support the company’s use of Microsoft Fabric, Foundry, Azure ML Studio, and advanced analytics tools.
  • Assist power users in applying machine learning, AI, and automation in practical…