Responsible for identifying and implementing AI solutions to improve decision making, streamline operations, and enhance member experiences within the credit union.
Compensation
PAY RANGE: $108,000 to $126,000 annually (I16) plus a 15% annual target bonus
Responsibilities
Identify opportunities where AI can create business value
Develop prototypes and conduct experiments
Design, build, test, and implement AI-enabled solutions
Collaborate with business stakeholders to validate assumptions
Ensure compliance with governance, security, privacy, and regulatory requirements
Requirements
Master's Degree in a scientific/engineering discipline such as computer science, data science, statistics, mathematics, engineering, artificial intelligence, physics, operations research or a related field
Nice to have: Experience within financial services, credit unions, banking, lending, risk management, compliance, operations or similar regulated industries
Responsible for identifying opportunities where artificial intelligence can improve decision making, streamline operations, enhance member experiences, and create measurable business value.
Compensation
PAY RANGE: $119,000 to $139,000 (I16) plus a 15% annual target bonus
Responsibilities
Identify opportunities where AI can create meaningful business value
Develop prototypes and conduct experiments to evaluate potential solutions
Design, build, test, and implement AI-enabled solutions
Collaborate with business stakeholders to validate assumptions and refine solutions
Ensure AI solutions comply with governance, security, privacy, risk management, and regulatory requirements
Requirements
Master's Degree in a scientific/engineering discipline such as computer science, data science, statistics, mathematics, engineering, artificial intelligence, physics, operations research or a related field
Nice to have: Experience within financial services, credit unions, banking, lending, risk management, compliance, operations or similar regulated industries
The role supports the administration of the Tool Risk Management (TRM) Program and provides independent second line of defense (2LOD) oversight and challenge of the Bank’s Data Management Program.
Responsibilities
Supports day-to-day administration of the Tool Risk Management (TRM) Program
Maintain the enterprise tool inventory, attestations, classification, validation coordination, and change management monitoring
Provide independent 2LOD oversight, review, and challenge of the Bank’s Data Management Program
Perform analysis, testing, and documentation
Execute the annual tool ownership attestation process
Support the Strategic Sourcing organization through research, data analysis, process analysis, and project coordination, and develop AI-enabled solutions to improve sourcing decisions.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Hourly Salary USD 26.00 - 30.00 in Texas
Responsibilities
Support the Strategic Sourcing organization through research, data analysis, process analysis, and project coordination.
Own or materially contribute to an AI, analytics, or automation project supporting Strategic Sourcing.
Collaborate with sourcing leaders, commodity managers, and cross-functional stakeholders to understand business challenges and define structured requirements.
Gather, organize, and analyze structured and unstructured information, including pricing records, contracts, supplier data, market intelligence, and other business documents.
Translate sourcing challenges into workflows, data requirements, solution concepts, and project deliverables.
Requirements
Bachelor’s or Master’s degree in Business Analytics, Supply Chain, Information Systems, Computer Science, Data Science, Artificial Intelligence, Industrial Engineering, Finance, Economics, or a related field.
Nice to have: Previous internships, university projects, research, hackathons, analytics projects, or AI-related coursework
Lead formulary development, maintenance, and operational excellence across lines of business, ensuring regulatory compliance and stakeholder alignment.
Compensation
$126,300 - $173,700 per year
Responsibilities
Lead formulary development and maintenance activities
Oversee operational implementation of formulary changes
Support utilization management programs
Evaluate formulary performance and operational impacts
Ensure compliance with state, federal, and client requirements
Lead formulary development, maintenance, and operational implementation across lines of business, ensuring regulatory compliance and strategic alignment.
Compensation
$126,300 - $173,700 per year
Responsibilities
Lead formulary development and maintenance activities
Oversee operational implementation of formulary changes
Support utilization management programs
Evaluate formulary performance and operational impacts
Ensure compliance with state, federal, and client requirements
Requirements
Bachelor's degree
Master's degree in Healthcare Administration, Business Administration, Public Health, Health Policy, or a related field
Nice to have: Experience in formulary management
Nice to have: Experience supporting Medicaid, Medicare, Commercial, or Exchange formulary programs
Nice to have: Experience with data analytics tools such as SQL, Power BI, Tableau or similar reporting platforms
Data analyst supporting large-scale supply chain transformation and digital initiatives through advanced data analysis and actionable business insights.
Responsibilities
Collect, integrate, analyze, and interpret large and complex datasets to identify trends, data quality gaps, process issues, and improvement opportunities.
Translate business requirements into analytical solutions, dashboards, KPIs, and data-driven recommendations.
Perform root-cause, variance, and exploratory analysis to identify drivers behind data quality, operational, planning, and process issues.
Develop analytical models, metrics, and data-driven recommendations to support business and operational decision-making.
Perform data profiling, validation, reconciliation, and quality analysis across multiple data sources and systems.
Requirements
Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Supply Chain, Operations, Business Analytics, or a related discipline
Lead the technical direction and evaluation of GM’s autonomous driving systems, turning data insights into actionable recommendations for engineering and leadership.
Compensation
The base salary range for this role is $250,000 to $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Responsibilities
Set the multi-year technical direction for evaluation
Invent new ways to judge overall driving behavior
Define how we evaluate subsystems such as perception, prediction, planning, and localization
Trace bad driving back to the subsystem or interaction that caused it
Define how we tell whether a software or model change actually improves driving
Requirements
Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Statistics, Data Science, or a related field, or equivalent practical experience
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