Systems Manager - Enterprise Data Science and AI

Overview

Responsibilities

• Lead data science efforts to generate insights, predictions, and decision support across enterprise and operational use cases
• Translate business and operational needs into analytical, statistical, and modeling requirements
• Specify data and feature requirements needed to support modeling and analysis
• Consume curated, analytics-ready and feature-ready datasets provided by data engineering teams
• Validate the statistical soundness and suitability of datasets for analysis and modeling
• Use enterprise metadata and data definitions to understand data meaning, scope, and limitations
• Leverage mastered and reference data to ensure consistency across analyses and models
• Identify and flag data quality issues that may impact analytical accuracy or model performance
• Request and maintain appropriate data access in alignment with security and governance policies
• Design features and transformations required for predictive and machine learning models
• Develop, train, test, and evaluate statistical, machine learning, and AI models
• Support model deployment in partnership with AI platform and engineering teams
• Monitor model performance, data drift, and input anomalies in production environments
• Document models, assumptions, and limitations to support transparency and auditability
• Collaborate with governance, engineering, and platform teams to ensure compliance with regulatory and enterprise standards
• Lead and develop a team of managers through coaching, performance management, and effective work assignment to drive aligned execution and business outcomes

Qualifications

• Master's Degree and a minimum of 6 years full-time relevant work experience or
• Bachelor's Degree and a minimum of 8 years full-time relevant work experience.

• Master's Degree in Business Administration, Finance, Accounting, Management Information Systems, Information Systems, related business or technology aligned field and a minimum of 6 years full-time relevant work experience.

• Demonstrated experience leading enterprise data science and AI teams delivering advanced analytics, statistical models, machine learning solutions, and agent enabled AI capabilities in regulated environments, preferred
• Proven hands-on experience using Google Vertex AI for model development, orchestration, deployment, and lifecycle management, including support for agent-based workflows, preferred
• Strong background translating complex business and operational needs into well-defined data science, modeling, and analytical requirements, preferred
• Demonstrated experience developing predictive and prescriptive models that support grid operations, asset management, forecasting, customer analytics, and enterprise planning, preferred
• Proven ability to design and operate secure, explainable, auditable, and compliant AI solutions, especially when outputs influence operational or customer facing decisions, preferred
• Experience owning the full data science and agent lifecycle, including data exploration, feature engineering, model training, validation, deployment, monitoring, and continuous improvement, preferred
• Strong expertise in data quality validation, feature consistency management, model performance tracking, and monitoring for drift and anomalies in production systems, preferred
• Demonstrated ability to collaborate closely with Data Engineering, AI Platform, and Data Quality Assurance teams to ensure reliable and scalable AI solutions, preferred
• Experience operating AI and analytics solutions in mission critical, safety sensitive environments with strict requirements for reliability, compliance, and operational resilience, preferred
• Proven track record bridging advanced AI capabilities with real world operational adoption, delivering measurable business value while meeting non-negotiable safety and regulatory standards, preferred

• Strong written and verbal communication skills
• Builds and manages effective teams
• Well organized, detail oriented and flexible to handle multiple assignments
• Project Demonstrated project management skills

• Driver's License Required
• Project Management Professional (PMP) Preferred
• Certified Project Management (CPM) Preferred
• Other: GCP Professional Certification Preferred
• Other: Databricks Professional Certification Preferred

• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.