Manager - Data Analytics

Central Hudson•Poughkeepsie, AR

About The Position

Central Hudson is seeking a Leader to join our asset strategy and data analytics team. The Manager - Data Analytics leads a high-performing team responsible for transforming data into actionable insights that support strategic planning, operational performance, and investment decisions across the organization. In this leadership role, you will integrate advanced analytics, data science methods, and enterprise asset-management systems to drive measurable business outcomes in a regulated utility environment. By turning complex data into clear insights, forecasts, and recommendations, you will help optimize reliability, customer affordability, risk reduction, and long-term value for customers and shareholders.

Requirements

Bachelor’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, Business, or related field and 5 years of experience in data analytics, data science, asset strategy, or a related technical/strategic discipline.
Demonstrated experience leading teams and driving organizational change
Proficiency with analytics and programming tools (e.g., Python, R, SQL) and data visualization platforms
Strong understanding of statistical methods or machine learning concepts
Excellent communication skills, with the ability to explain technical concepts to leadership and cross-functional partners
Strong problem-solving, analytical, and quantitative abilities
Ability to manage multiple high‑priority initiatives in a fast-paced environment
Valid driver’s license

Nice To Haves

Master’s degree in Data Science, Engineering, Mathematics, Statistics, Computer Science, Business, or related field
3+ years of leadership experience in a data-focused environment
Experience within the electric and gas utility industry
Familiarity with asset‑management practices, grid reliability metrics, and regulatory frameworks (e.g., NYS PSC, FERC, NERC)
Experience with cloud platforms, advanced analytics tools, or distributed computing

Responsibilities

Leads the development and execution of a comprehensive analytics strategy aligned with corporate goals
Oversees data collection, preparation, and integration from internal and external sources to ensure high-quality datasets
Guides the team in exploratory analysis, statistical modeling, and machine learning to uncover trends, risks, and opportunities
Drives operational research and innovation initiatives—piloting emerging technologies and scaling successful proof of concept projects
Develops, tests, and refines predictive and prescriptive models supporting reliability, asset health, load forecasting, customer behavior, and operational performance
Conducts system and scenario analyses to evaluate the impact of reliability metrics (e.g., SAIFI, CAIDI, CEMI), contingency events, and regulatory requirements
Oversees the creation of dashboards and visualizations to communicate insights clearly to stakeholders
Partners with engineering, operations, planning, regulatory, finance, and IT teams to unify data-driven strategy, asset planning, and system enhancements
Translates complex technical concepts into actionable recommendations for both technical and nontechnical audiences
Ensures analytics outputs support regulatory filings, compliance requirements (e.g., NERC), and corporate initiatives
Provides oversight for enterprise asset management systems, data platforms, and analytics tools, ensuring they are optimized for evolving business needs
Champions continuous improvement in data quality, data governance, and analytical processes across the organization
Represents the company in cross utility working groups, industry forums, and regulatory environments
Provides support for storm restoration efforts