Director of Data & Analytics

Crescent Energy•Houston, TX

About The Position

Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory. Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent’s leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise. For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet. The Director of Data & Analytics is a senior leadership role responsible for defining and executing the enterprise data strategy, enabling data-driven decision-making, and establishing best-in-class governance across the organization. This individual will lead the design, implementation, and optimization of the company’s data platform while ensuring data quality, security, and accessibility for all business units. With deep expertise in upstream oil and gas operations, this leader will bridge the gap between business and technology to unlock value from data assets, driving operational efficiency, regulatory compliance, and strategic insight. This individual will play a critical role in accelerating our journey toward becoming a data-driven, technology-enabled enterprise especially in the context of the energy sector's transformation.

Requirements

Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
Experience: 7+ years of experience in enterprise data management, with at least 5 years in leadership roles driving data strategy and governance.
Industry experience in upstream oil and gas is required, ideally with exposure to drilling, production operations, reserves, and regulatory reporting.
Proven experience deploying and managing cloud data platforms with Snowflake expertise is essential.
Demonstrated success leading enterprise analytics standardization and governance initiatives.
Skills & Competencies: Strong understanding of oil and gas data domains (e.g., wells, completions, SCADA, production volumes, reserves, HSE).
Expertise in data modeling, data integration (ETL/ELT), cataloging, lineage tracking, and security best practices.
Demonstrated leadership in cross-functional stakeholder engagement and driving enterprise-wide data initiatives.
Exceptional communication and storytelling skills. Able to influence executive decision-makers and front-line users alike.
Strategic thinker with a pragmatic, business-aligned execution style.

Nice To Haves

Master’s degree or relevant certifications (e.g. CDMP, TOGAF, SnowPro, DAMA) are a strong plus.

Responsibilities

Data Strategy & Architecture Define and drive the enterprise-wide data and information management strategy aligned with business objectives and digital transformation goals.
Establish a clear roadmap for data platform evolution, advanced analytics enablement, KPI standardization, and self-service reporting.
Partner with executive leadership and business unit leads to identify and prioritize high-value analytics use cases (e.g., production optimization, emissions tracking, capital efficiency, drilling performance, reserves reporting).
Lead the architecture, development, and optimization of the Snowflake based cloud data platform, ensuring scalability, security, and performance.
Data Governance & Compliance Establish and oversee a robust data governance framework, including policies, standards, stewardship models, and metadata management.
Ensure data integrity, privacy, lineage, and security across all domains and systems in compliance with regulatory and industry requirements.
Lead master data management (MDM) and reference data strategies for key domains such as wells, assets, production, and finance.
Information Lifecycle & Quality Management Manage the lifecycle of structured and unstructured data, including archival, retention, classification, and accessibility.
Implement data quality KPIs, processes, and tools to continuously improve the reliability and trustworthiness of enterprise data.
Champion a “single source of truth” mindset across operational, engineering, financial, and ESG data domains.
Analytics, Reporting & Business Intelligence Standardize and elevate enterprise reporting capabilities using Power BI, Spotfire, and other approved BI platforms.
Establish governed datasets, certified KPIs, and enterprise reporting standards to eliminate inconsistent metrics and spreadsheet-driven reporting.
Drive the transition from ad-hoc analytics to scalable, production-grade reporting assets.
Champion self-service analytics through curated datasets, semantic models, and data literacy initiatives.
Business Partnership & Enablement Act as a trusted advisor to business and technical leaders, translating complex data challenges into actionable strategies and solutions.
Drive the democratization of data by enabling self-service analytics and data literacy initiatives across departments.
Collaborate closely with IT, Finance, Operations, and Compliance to align efforts and maximize data ROI.
Team Leadership & Culture Build and lead a high-performing team of data analyst, data engineers, architects, stewards, and governance professionals.
Foster a culture of accountability, innovation, and continuous improvement within the data organization.
Mentor emerging talent and promote knowledge sharing across the enterprise.