Data Engineering Manager

We have an important role to play in securing the region’s clean and reliable energy future and seek folks from a variety of disciplines to join us! In this role you will supervise the design, development, and maintenance of the enterprise data warehouse, data marts, and BI data systems, to support business decision-making and strategic initiatives. Additionally, you will focus on driving innovation and efficiency through data-driven solutions and ensure the quality, reliability, and integrity of data processes. You will also provide expertise, including but not limited to: database design, data warehousing, project management, and Electricity Markets.

What we offer you:

• Hybrid work schedule with 2 days/week onsite
• ISO-NE offers flexible and hybrid work, a base salary plus bonus program, professional development and tuition reimbursement, enhanced 401k and financial planning, wellness programs with onsite gym, eligibility for Public Service Loan Forgiveness (PSLF), access to business networks & more, all in a stable and supportive work environment!

How you will make an impact:

• Develop and execute a comprehensive data strategy aligned with business goals. Maintain 24/7 support rotation schedule;
• Identify opportunities to enhance data collection, storage, and usage to drive business value.
• Collaborate with stakeholders to define data requirements and prioritize projects.
• Lead a team of data engineers, analysts, and DBAs, providing technical guidance, coaching, and support.
• Set clear objectives and performance expectations.
• Foster a culture of collaboration, innovation, and continuous learning.
• Maintain a high level of technical and business expertise in the group
• Work closely with business units to understand their evolving needs and challenges in a fast-changing industry.
• Collaborate with other IT units to integrate data systems and ensure data consistency and compatibility.
• Prioritize project work based on business impact and strategic objectives.
• Manage projects related to data engineering and business intelligence initiatives
• Define project scope, goals, and deliverables.
• Monitor progress, manage resources, and mitigate risks to ensure successful project completion.

What you need to be successful in this role:

• Bachelor's degree in Mathematics, Computer Science, Data Science or a related field. Master’s degree preferred.
• 8+ years of experience in data engineering, business intelligence, or data science
• 3+ years of experience supervising technical staff
• 5+ years of experience programming in SQL, Python or R specializing in ETL
• Understanding of relational databases including Oracle and PostGres
• Understanding of data warehousing and data marts best practices
• Electricity Markets, including Day-Ahead, Real-Time, FTR, ARR, and Markets Monitoring preferred

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