Vice President, Enterprise Data & Technology
Listed on 2026-07-14
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IT/Tech
Data Analyst, IT Project Manager -
Management
IT Project Manager
This role can be based out of our Denver, CO office or our Tulsa, OK office. This position is part of a hybrid work schedule requiring a minimum of three days per week in the office.
Company OverviewNexus Energy Partners is an innovative and dynamic energy investment firm headquartered in Denver, Colorado, with a key office in Tulsa, Oklahoma. Nexus invests in the energy needs of today and the energy solutions of tomorrow. Nexus Energy Partners has built a strong portfolio of non-operated working interests and mineral properties in Oklahoma’s Mid-Continent and is actively expanding its portfolio. At Nexus, we take pride in being a high-performing team united by our strong culture and core values.
We aim to deliver maximum returns for our investors through our deep industry expertise, strategic partnerships, and robust commercial network.
We are seeking an experienced Vice President, Enterprise Data & Technology to define and own Nexus’s enterprise data strategy, AI enablement, and technology direction. Reporting directly to the Chief Operating Officer, this role sets the vision for the company’s data architecture, warehouse, and platform investments, and translates that vision into a multi-year roadmap prioritized against business value. This is a hands‑on leadership role for someone who thinks like an owner — comfortable setting strategy and direction, but equally comfortable rolling up their sleeves in a lean, fast‑moving environment.
The Vice President will lead and grow the data team, including the Senior Manager of Enterprise Data and the company’s data internship program, while directing the company’s AI and automation strategy and championing responsible, effective use of AI agents across the business. The role also carries broad ownership of the company’s data governance, security posture, and IT oversight — setting standards and direction, whether executed directly or through specialists and vendors.
The ideal candidate combines strong command of modern BI, analytics, and cloud data platforms with the judgment to prioritize initiatives, the leadership skill to build a high-performing team, and the ability to translate business needs into technical strategy for executive leadership.
- Define and own the company-wide enterprise data strategy and multi-year roadmap.
- Set the vision and direction for the company’s data architecture, warehouse, and platform investments.
- Prioritize the data team’s initiatives against business value and company goals.
- Stay informed about current trends, best practices, regulatory developments, and new technologies to ensure the company continues to elevate its data strategy.
- Lead, manage, and grow the overall data team, including the Sr. Manager of Enterprise Data.
- Directly manage the data interns and own the intern program, building a repeatable pipeline for developing and converting junior talent.
- Set goals, operating cadence, and standards for how the team works.
- Own automation, optimization, BI, and analytics strategy.
- Deploy, run, and manage AI agents within the team’s and the company’s workflows.
- Teach and upskill the team on effective, responsible use of AI agents, establishing best practices, guardrails, and compliance strategy.
- Own the company’s AI and automation strategy, identifying high-value use cases across the business and driving their adoption.
- Own the enterprise data architecture direction and standards as part of the company-wide data strategy, setting execution priorities for the broader data team.
- Guide decisions on platform, tooling, software, and infrastructure to ensure scalability and long-term fit.
- Ensure the company’s data foundation can support analytics, AI, and future growth.
- Partner with department and executive leadership to align the data function with company priorities.
- Translate business needs into the enterprise data strategy and roadmap and communicate progress to leadership.
- Champion data‑driven decision‑making across the organization.
- Establish the team’s operating model, including…
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