Program Manager

Program Manager – Data, AI & Advanced Analytics

Job Location: New York, NY (Onsite)

Industry Focus: Utilities, Energy, Infrastructure

Experience: 10–15+ years

Education: Bachelor’s required; MBA preferred

Note: This position is not eligible for Immigration Sponsorship at this time.

Role Overview

We are seeking a senior Engagement Manager to lead complex Data & AI engagements within the Utilities and Energy sector.

This role goes beyond traditional project management. The ideal candidate blends senior program management rigor, consulting and advisory capabilities, data & AI domain fluency, utility/energy industry experience, and pre-sales support.

This individual will own engagement success across delivery, stakeholder alignment, value realization, and expansion opportunities. They must be comfortable leading teams delivering analytics models, data platforms, data migrations, governance programs, and AI solutions.

Key Responsibilities

Engagement Ownership & Delivery Leadership

• Own end-to-end delivery of Data & AI programs (analytics, data engineering, data platforms, data strategy, AI/ML use cases).
• Coordinate cross-functional teams including Data Scientists, Data Engineers, Architects, MLOps, and Business Analysts.
• Ensure alignment between technical outputs and business objectives.
• Drive structured governance including steering committees, executive updates, and risk management.
• Manage scope, financials, utilization, and margin.
• Proactively identify and mitigate delivery risks.

Data & AI Program Oversight

• Lead engagements involving predictive and prescriptive analytics, machine learning development, data migrations, and platform modernization.
• Oversee data architecture, integration initiatives, governance frameworks, and AI/GenAI deployments.
• Ensure proper model lifecycle governance, validation, documentation, and deployment standards.
• Translate technical discussions into business-relevant implications for senior stakeholders.

Strategic Advisory & Consulting

• Serve as trusted advisor to client leadership across operations, asset management, grid modernization, and customer analytics.
• Facilitate business problem structuring and solution framing.
• Guide clients on data maturity, analytics roadmaps, and operating model design.
• Align AI initiatives with measurable business value and operational impact.

Pre-Sales & Growth Support

• Support proposal development, solution shaping, and executive presentations.
• Contribute to SOW drafting and effort estimation.
• Identify expansion opportunities within existing accounts.
• Partner with sales and capability leaders to convert pipeline to booked work.

Industry & Technical Depth

• Bring utilities/energy domain understanding (electric, gas, renewables, infrastructure).
• Demonstrate fluency in cloud data platforms (GCP, Azure, AWS), Lakehouse architecture, ML lifecycle management, and data integration patterns.
• Engage confidently at both executive and technical architecture levels.

Required Qualifications

• 10+ years of experience in consulting, program management, or delivery leadership.
• Demonstrated experience leading Data Science or Analytics engagements.
• Experience managing data platform implementations or modernization programs.
• Strong stakeholder management at Director/VP level.
• Financial management of multi-million-dollar programs.
• Experience working in Utilities, Energy, Infrastructure, or similar regulated industries.

Preferred Qualifications

• MBA or advanced degree.
• Prior consulting firm experience (Big 4, strategy firms, or technology consultancies).
• Experience with regulated environments and enterprise-scale transformation.
• Familiarity with AI governance and model risk management frameworks.

Ideal Candidate Profile

• Structured thinker with strong executive presence.
• Technically credible with data & AI teams.
• Commercially aware and comfortable in growth discussions.
• Able to operate in ambiguity and shape programs from early-stage definition.
• Drives accountability without micromanaging.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $185,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.