Manager of Enterprise Data and Business Intelligence

  • Location: Tulsa, OK
  • Type: Direct Hire
  • Job #247118

Manager of Enterprise Data and Business Intelligence

Responsibilities:

Data Strategy Development:

  • Develop and implement a data strategy aligned with organizational goals.
  • Identify opportunities to leverage data for improved decision-making, innovation, and competitive advantage.

Stakeholder Engagement:

  • Serve as the primary liaison between data teams and executive leadership, promoting data-driven decision-making.
  • Collaborate with external partners and vendors to stay updated on industry trends and best practices.

Data Governance and Management:

  • Establish and enforce data governance policies to maintain data quality, integrity, and security.
  • Oversee data management practices, ensuring compliance with regulations such as GDPR and CCPA.

Cross-Functional Collaboration:

  • Work with business units including marketing, finance, operations, and IT to identify and meet their data needs.
  • Bridge communication between technical teams and non-technical stakeholders to align on data initiatives.

Team Leadership and Development:

  • Build and lead a high-performing data team, fostering a culture of innovation and learning.
  • Mentor team members to support professional growth in data analytics and management.

Technology Evaluation and Implementation:

  • Assess and select tools and technologies to support the data strategy, aligning them with business needs.
  • Oversee the implementation of data analytics platforms, data warehouses, and BI tools.

Performance Monitoring and Reporting:

  • Track the success of data initiatives and provide updates to senior leadership.
  • Prepare and present insights, trends, and actionable recommendations based on data analysis.

Qualifications:

  • Proven experience in data strategy, governance, and business intelligence.
  • Strong leadership skills with a track record of building and developing teams.
  • Excellent communication abilities to interface effectively with both technical and non-technical stakeholders.
  • Proficiency in data analytics tools, data management platforms, and regulatory compliance standards.
  • Ability to drive data-driven innovation and deliver measurable business outcomes.
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