Build and validate statistical and machine learning models, including regression, classification, survival analysis, clustering, and key-driver analysis
Design rigorous analyses, including quasi-experimental and causal inference approaches
Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance
Conduct open-ended discovery, test hypotheses, explore anomalies and weak signals
Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale
Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus
Contribute to the design and build of our new Azure-based Data, Reporting and Analytics platform.
Develop reliable, reusable data pipelines, transformations, data models and governed data products.
Contribute metadata, data definitions and lineage information to support the enterprise data catalogue and data governance.
Apply validation, reconciliation, testing and monitoring practices to identify data-quality issues early and deliver trusted, production-ready data solutions.
Collaborate with University teams including key stakeholders and our external delivery partner.
Lead governance initiatives across Micron's semiconductor manufacturing lines, developing frameworks, dashboards, and cross‑functional programs to improve stability and quality.
Responsibilities
Lead rollout and maintenance of Frontline Stability Program initiatives across HBM and Non‑HBM manufacturing lines
Manage governance frameworks such as FEAT, EFM, and CESG
Establish operational benchmarks and monitoring mechanisms
Work with Site Engineering, Quality, and Manufacturing to close issues
Define and deploy machine auto‑trigger strategies
Requirements
Bachelor's degree in Mechanical, Electrical, Manufacturing, Industrial, Mechatronics, Semiconductor Engineering or related field
Lead the design, governance, and adoption of AI-powered business solutions across the enterprise.
Responsibilities
Define and govern enterprise AI, automation, analytics, and agent-based architectures aligned with business transformation goals.
Design and deliver intelligent workflows that integrate AI agents, automation platforms, and enterprise data systems.
Evaluate and guide adoption of AI technologies including Copilot Studio, Copilot Agents, Claude, UiPath AI, Snowflake Cortex, and related platforms.
Establish reusable frameworks, governance standards, and guidelines for AI development, citizen developers, and the CBO Agent Marketplace.
Mentor global engineering teams and partner with IT, Security, Enterprise Architecture, and Data teams to deliver secure, scalable AI solutions.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
Nice to have: Master's degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field.
Nice to have: Hands-on experience with automation platforms such as UiPath or similar intelligent automation technologies.
Nice to have: Experience with AI platforms and technologies including Copilot Studio, AI agents, Snowflake Cortex, or similar enterprise AI solutions.
Commercial and Institutional Lending Platform Training Manager OR Training Lead
The Commercial & Institutional Lending Platform Training Manager leads training initiatives for the C&I Lending Domain, partnering with mid‑ to senior‑level leaders to develop learning programs, facilitate training experiences, and drive project outcomes.
Compensation
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Responsibilities
Leads the training initiatives for the C&I Lending Domain
Creates and manages learning programs for new lending platforms
Leads the implementation and facilitation of learning experiences
Monitors, evaluates and leads the accountability for training program results
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
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