Analytics & Digital Enablement Manager

Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth strategy via acquisitions and consistent capital returns. Our long‑life, balanced portfolio brings stable cash flows from low‑decline production together with a high‑quality development inventory, making Crescent a top‑three producer in the Eagle Ford basin and a scaled operator in the Permian and Uinta basins.

The Manager, Analytics & Digital Enablement leads the organization’s reporting and analytics function, driving the adoption of modern analytics capabilities across the enterprise. The position manages a team of BI analysts and serves as the primary liaison between business stakeholders and Information Technology to deliver trusted, governed reporting solutions that enable data‑driven decision‑making.

• Analytics Strategy, Platform Administration & Delivery – Lead the enterprise BI and Analytics function, establish standards, priorities, and delivery processes for analytics and reporting; own strategy, administration, configuration, and lifecycle management of platforms such as Microsoft Power BI and TIBCO Spotfire; administer and maintain environments, including tenant configuration, workspace and library management, security administration, licensing, gateway administration, capacity management, platform upgrades and operational support;
  
  set up development, testing, and production environments with controlled deployment pipelines and release management; develop and enforce governance standards for report development, semantic models, reusable data assets, deployment pipelines, certified reports, and content lifecycle management; monitor platform performance, capacity utilization, availability, and operational health; partner with Infrastructure, Cybersecurity, and Data Engineering teams to ensure compliance with security, identity management, disaster recovery, and data governance standards;
  
  drive continuous improvement of reporting capabilities through automation, visualization best practices, KPI standardization, and emerging analytics platform capabilities; partner with Data Engineering to ensure certified reports use trusted, governed, scalable enterprise datasets.
• Business Partnership & Requirements Management – Serve as the primary liaison between business stakeholders and the Data & Analytics organization; build relationships with business leaders to understand operational processes, reporting challenges, and strategic objectives; facilitate discovery sessions, workshops, and requirements gathering; translate business requirements into functional and technical specifications; own and maintain the enterprise analytics project backlog; coordinate with project managers, data engineers, AI/Automation team and business stakeholders to ensure timely delivery;
  
  provide regular communication on project status, priorities, risks, and timelines.
• Analytics Governance & Change Management – Own governance processes for enterprise reporting; ensure certified reports meet quality, consistency, security, usability, and performance standards; establish and manage change control processes for report enhancements, semantic model updates, data source changes, and production deployments; maintain enterprise reporting documentation, metadata, report catalogs, certification processes, and ownership records; ensure consistent KPI definitions and reporting standards; monitor report usage, adoption, and platform health to identify opportunities for consolidation, optimization, and continuous improvement;
  
  promote enterprise reporting standards that reduce duplication and improve confidence in business metrics.
• Citizen Development & Digital Enablement – Champion a governed self‑service analytics strategy that empowers business users while maintaining enterprise standards; lead the Analytics Community of Practice to evaluate ideas, collaborate on proof‑of‑concept dashboards, foster community among data analysts, and provide upskilling opportunities; coach business users on visualization best practices, data modelling concepts, governance requirements,…