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Director Predictive Analytics Jobs in Oklahoma (NOW HIRING)

AI & GenAI Data Scientist - Manager

Tulsa, OK ยท On-site

$99K - $232K/yr

... improve predictive analytics - Collaborating with stakeholders to address data challenges and ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

New

... improve predictive analytics - Collaborating with stakeholders to address data challenges and ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

New

Reliability Engineer

Kremlin, OK ยท On-site

$85 - $120/hr

... predictive, and precision maintenance. History of implementing reliability best practices ... Knowledge of reliability-centered maintenance analysis processes including asset criticality ...

Become known as a thought-leader in machine learning and predictive analytics. * Expand ... Must-have Qualifications * 3+ years of direct sales experience selling enterprise software to large ...

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

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Director Predictive Analytics information

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

Business Intelligence - Director Enterprise Data & Analytics

Tulsa, OK โ€ข On-site

$120 - $190/hr

Other

Re-posted 18 days ago


Job description

Business Intelligence - Director Enterprise Data & Analytics

Tulsa, OK, USA

Job Description

JOB SUMMARY:

The Director Enterprise Data & Analytics is responsible for leading the organizationโ€™s data strategy, analytics, reporting, governance, and data engineering functions. This role partners across executive, technical, financial, clinical, and operational teams to deliver trusted data, scalable analytics, reporting modernization, and AI-enabled decision-making support that advances operational excellence, regulatory confidence, and long-term business success.

KEY RESPONSIBILITIES:

  • Oversee enterprise analytics, business intelligence, corporate reporting, data governance, data quality, and data engineering.
  • Oversee modern data platforms, enterprise data architecture, self-service analytics, predictive analytics, automation, and AI readiness.
  • Develop, execute, and maintain the Enterprise Data & Analytics strategy by establishing policies, standards, and best practices for analytics, reporting, governance, and data engineering while advancing data-driven decision-making and evaluating emerging technologies.
  • Lead, develop, and mentor managers and technical professionals while fostering a culture of innovation, accountability, collaboration, customer service, and continuous learning.
  • Serve as the primary business partner to executive leadership on enterprise data and business intelligence initiatives, while advancing innovation, automation, advanced analytics, and AI-enabled decision support.
  • Collaborate across Finance, IT, Clinical Operations, Medical Management, Network Management, Compliance, and other business areas to align enterprise analytics priorities.
  • Provide strategic leadership for modernization initiatives involving cloud technologies, enterprise reporting, data architecture, and analytics; partner with IT to ensure enterprise systems support scalable reporting and analytics.
  • Manage departmental budgets, establish performance metrics, prioritize resources, and ensure successful execution of strategic initiatives.
  • Partner with data governance, compliance, and security teams to ensure reporting solutions meet HIPAA, CMS, and state regulatory requirements.
  • Perform other related job duties as required or assigned.

QUALIFICATIONS:

  • Ability to translate complex healthcare data into clear, meaningful insights for non-technical audiences.
  • Ability to deliver trusted, timely, and actionable information.
  • Proven success in the execution of enterprise data modernization initiatives.
  • Ability to improve reporting consistency, data quality, and stakeholder confidence.
  • Proven success in increasing adoption of self-service analytics and modern business intelligence.
  • Ability to develop a high-performing Enterprise Data & Analytics organization.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:

  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Science, Healthcare Administration, Finance, Statistics, Applied Mathematics, or related field required; Masterโ€™s degree preferred.
  • Seven years of progressive experience in enterprise analytics, business intelligence, data engineering, healthcare analytics, or related disciplines.
  • Three years of leadership experience managing analytical, reporting, engineering, or business intelligence teams.
  • Extensive hands-on experience with Power BI, including data modeling, DAX, security, and enterprise deployments.
  • Strong understanding of healthcare data domains (claims, eligibility, providers, quality, finance, utilization).
  • Demonstrated experience leading enterprise technology initiatives, organizational strategy, and cross-functional teams.
  • Advance enterprise data maturity and governance.
  • Three years of managed healthcare experience preferred.
  • Prior Executive and Board reporting experience preferred.
  • Prior enterprise data modernization and governance experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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