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Data Science Manager Jobs in Wanette, OK (NOW HIRING)

US Department of Commerce

Physical Scientist

Norman, OK · On-site

$106K/yr

Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal ... A. Degree: Physical science, engineering, or mathematics that included 24 semester hours in ...

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Data Science Manager information

See Wanette, OK salary details

$27.2K

$85.2K

$150.9K

How much do data science manager jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data science manager in Wanette, OK is $85,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $110,100.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Wanette, OK?

The most popular types of Data Science jobs in Wanette, OK are:

What cities near Wanette, OK are hiring for Data Science Manager jobs?

Cities near Wanette, OK with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Wanette, OK as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $85,217 per year, or $41 per hour.

AI/Automation Architect

Norman, OK • Remote

Norman Regional Health System
Health Care and Social Assistance • 1 - 5K employees

7.4

Company rating: 7.4 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

271st of 894 rated healthcare providers

People enjoy working here

Good employer

Recommended by students

Learn more about Norman Regional Health Systemexternal

Full-time

Re-posted 6 days ago

Job description


Job Summary

The AI & Automation Architect is responsible for designing the end-to-end technical strategy for the organization's intelligent automation initiatives. This role involves selecting the right mix of technologies (RPA, Generative AI, Machine Learning, IDP) to solve complex business problems. The Architect ensures that solutions are scalable, secure, and cost-effective, moving beyond simple task automation to full-scale process transformation.

  • Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow)
  • Evaluate and select appropriate platforms and tools based on cost, security, and fit
  • Define how automation tools communicate with enterprise systems via APIs, webhooks, or database connections
  • Establish coding standards, reusable component libraries, and best practices for development teams to ensure consistency
  • Work with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control)
  • Oversee the infrastructure sizing to support bots and high-volume AI inference requests
  • Collaborate with business analysts to determine if a process should be automated and how
  • Lead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rollout
  • Design the "Control Room" strategy for monitoring bot health, AI model drift, and license utilization
  • Disaster Recovery: Create failover strategies to ensure business-critical automations continue running during system outages
     

Typical Duties:

  • Meeting with Health system leaders to analyze a proposed process and determining if it requires simple RPA, complex AI (e.g., OCR/NLP), or if it shouldn't be automated at all
  • Drafting technical blueprints that detail exactly how a bot will log in, where data will be stored, how exceptions are handled, and which AI models will be called
  • Researching and testing new AI tools to see if they fit the health systems tech stack better than current tools
  • Designing and documenting the REST/SOAP API integrations between the automation platform and third-party apps
  • Calculating the necessary compute power (CPU/RAM/GPU) required for upcoming automations and provisioning Virtual Machines (VMs)
  • Configuring "Credential Vaults" so bots can log into systems without exposing passwords in the code
  • Building and maintaining a library of "snippets" that all developers must use to save time
  • Monitors bot health to ensure critical automations ran successfully overnight
  • Troubleshoot complex failures that regular support teams cannot fix
  • Planning and executing upgrades for the automation platform without breaking existing bots
  • Facilitating whiteboard sessions with non-technical departments to uncover their pain points
  • Prompt engineering for business logic, understanding "context windows," and mitigating AI hallucinations in enterprise data.
  • Experience with OCR and data extraction tools.
  • Python, C#/.NET
  • PowerShell or Bash for infrastructure tasks.
  • Ability to design solutions that can handle spikes in volume.
  • Knowledge of load balancing and concurrent processing.
  • Understanding of RBAC (Role-Based Access Control).
  • Secure credential management.
  • Understanding of Virtual Machines (VMs), VDI (Virtual Desktop Infrastructure), and Docker/Kubernetes.
  • Setting up pipelines to automate the testing and deployment of bots.
  • Version control (Git) strategies for automation teams.

Qualifications

Education

  • Bachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.

Licensure/Certification

  • Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect

(Above requirements can be met by equivalent combination of education and experience)

Experience

  • 7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate
  • Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential
  • Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required
  • Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role

Work Shift
DayQualifications:

Education

  • Bachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.

Licensure/Certification

  • Prefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect

(Above requirements can be met by equivalent combination of education and experience)

Experience

  • 7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power Automate
  • Demonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essential
  • Proven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is required
  • Experience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role
Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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