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Director of Data Engineering - Governance and Science

ONEOK

$160,000 - $240,000
Sep 9, 2025
Houston, TX, USA • Dallas, TX, USA • Tulsa, OK, USA
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ONEOK is looking to leverage data as a strategic asset to drive business growth, operational efficiency, and innovation across the enterprise by developing and executing a comprehensive vision and strategy for data governance, engineering, and science.

Requirements

  • Strong technical background in Modern Data Architectures, Data Engineering and Advanced Analytics programs, technologies, strategies
  • Knowledge of business ecosystems, cloud, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), APIs, Machine Learning, analytics
  • Databricks and AWS experience preferred.

Responsibilities

  • Thought leader in AI, guiding organizations on how to responsibly and effectively drive the value of embedding AI into its data ecosystem and business strategy.
  • Build a Practical Roadmap with short-term wins and long-term horizon while ensuring the AI vision aligns with existing platforms, strategies, and cybersecurity.
  • Develop and enforce data governance frameworks, policies, and standards.
  • Oversee and evolve scalable, secure, and high-performance data infrastructure (cloud/on-prem).
  • Oversee the design and evolve technologies supporting data modeling, ETL/ELT, pipelines, data quality, data lake house and data warehouse platforms.
  • Establish strategic direction and mentor a team of data scientists and analysts to develop predictive models and insights.
  • Foster innovation through experimentation, continuous learning, enable A/B testing, and statistical modeling to inform tactical and strategic advance analytic investments.

Other

  • Master’s or bachelor’s degree in data science, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience
  • Doctorate Degree is a plus.
  • 10+ years’ relevant progressive experience in data leadership including innovation, data engineering, data science, and data analytics domain.
  • Strong leadership skills, ability to lead through influence and guide key technology design decisions in close collaboration with IT leaders and business partners.
  • Exceptional soft and interpersonal skills, including collaboration, facilitation, and negotiation.
  • Excellent written and oral communication skills and including technical writing effectively articulating complex concepts to a diverse business community.
  • Executive presence with the ability to influence senior leaders and align cross-functional priorities.