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Director Machine Learning Jobs in Omaha, NE (NOW HIRING)

Signature Performance, Inc

Business Analyst III

Omaha, NE · On-site

$39.50 - $54.25/hr

About You You are someone that is self-directing, with the ability to identify priorities ... Experience with machine learning and AI. * Ability to articulate complex concepts succinctly and ...

Smithfield Foods

Pack Operator - 3rd Shift

Omaha, NE

$22/hr

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... The Value You'll Bring As a Machine Operator team member at Smithfield Foods, you'll play a key ...

Apex Systems

Data Modeler

La Vista, NE · On-site

$51 - $66/hr

Experience supporting AI, machine learning, or agent-based use cases with governed, well-structured ... High visibility role with direct impact on business decision-making. * Long-term growth ...

Smithfield Foods

Pack Operator - 3rd Shift

Omaha, NE · On-site

$22/hr

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... Machine Operator positions arephysically demanding and require good hand-eye coordination, and ...

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All JobsMachine Learning JobsDirector Machine Learning JobsDirector Machine Learning Jobs in Omaha, NE

Director Machine Learning information

See Omaha, NE salary details

$34.4K

$87.9K

$134.9K

How much do director machine learning jobs pay per year?

As of Sep 3, 2026, the average yearly pay for director machine learning in Omaha, NE is $87,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Omaha, NE?

The most popular types of Machine Learning jobs in Omaha, NE are:

What are popular job titles related to Director Machine Learning jobs in Omaha, NE?

For Director Machine Learning jobs in Omaha, NE, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning jobs in Omaha, NE look for?

The top searched job categories for Director Machine Learning jobs in Omaha, NE are:

Director Machine Learning jobs near you
Infographic showing various Director Machine Learning job openings in Omaha, NE as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,945 per year, or $42.3 per hour.

Data Lead Architect- Institutional Division

Pacificlife

Omaha, NE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Job Description:

This role serves as the technical counterpart to the Data Steward, Director, and is responsible for the assessment and direction of technology to meet system requirements. The Data Lead/Architect designs and develops IT architecture (integrated process, applications, data, and technology) solutions to business problems, provides multi-layered technical expertise for next generation initiatives, and defines and implements the policies, standards, and architecture blueprints that ensure consistency, compatibility, and integration across interdependent technologies and platforms division wide.

How you'll help move us forward:

  • Architecture & Design: Designs and develops IT architecture (integrated process, applications, data, and technology) solutions to business problems, working in close partnership with the Data Steward, Director to translate data governance and business requirements into scalable technical solutions.
  • Standards & Integration: Assesses the compatibility and integration of products/services proposed as standards to ensure an integrated architecture across interdependent technologies. Ensures consistency, compatibility, and standards for systems applications design and integrations on a firm-wide basis across multiple platforms.
  • Technical Planning & Specifications: Responsible for technical planning, architecture development, and modification of specifications. Defines processes for technical platforms, system specifications, input/output, and working parameters for hardware and/or software compatibility.
  • Policy & Blueprint Development: Defines and implements the policies, standards, and architecture blueprints for technology solutions. Produces documented frameworks, or architectures, which describe and are used to manage the implementation of a technical environment.
  • System Design & Issue Resolution: Conceives system interfaces and business application prototypes. Identifies, analyzes, and resolves system design weaknesses to ensure the technical environment supports downstream business and reporting use cases.
  • Research & Roadmap Development: Researches developments in assigned technology, determines business requirements, proposes changes, and develops migration and implementation plans that select from existing and emerging technologies the options that best fit business needs.
  • AI Readiness: Prepares and structures data assets to support AI and machine learning use cases, ensuring data pipelines, models, and architecture are designed to enable reliable, scalable consumption by AI/ML tools and applications.

The experience you bring:

  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; advanced degree a plus.
  • Experience: 10+ years of progressive experience in IT/data architecture, with recognized expertise both within and beyond own function. Demonstrated ability to interpret internal or external business issues and recommend process, product, or service improvements.
  • Technical Skills: Proficiency with enterprise architecture frameworks and tools, SQL, databases, data lakes/warehouses, cloud platforms, and systems integration methodologies. Required experience with Snowflake; experience with Matillion and DBT is a plus.
  • Problem Solving: Solves unique or complex problems that have a broad impact on the business; takes a broad perspective to identify innovative solutions using existing and emerging technologies.
  • Leadership & Autonomy: Works independently, with guidance needed only in the most complex situations. May lead functional teams or projects and contributes to the development of functional strategy.
  • Communication: Excellent communication skills for collaborating with technical and business stakeholders and conveying complex architectural concepts to varied audiences.
  • Continuous Learning: Commitment to staying current on emerging technologies, architecture best practices, and industry trends.

What makes you stand out:

  • Track record of innovation, initiative, and deep technical/architectural capabilities.
  • Experience partnering with data governance/data steward functions within a life and annuity insurance company or broader financial services organization.
  • Experience defining architecture standards and roadmaps across multiple interdependent platforms firm-wide.

#LI-DW1

Base Pay Range:

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$184,680.00 - $225,720.00

Your Benefits Start Day 1

Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

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