Senior Project Manager - Data & AI

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Senior Project Manager – Data & AI

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

The Opportunity:

This is not a passive delivery role. We are seeking a Scrum Master who also acts as a delivery advisor—someone who facilitates execution, removes blockers, and challenges clients when necessary, professionally and constructively.

You’ll work across cross-functional teams of data scientists, data engineers, and software developers to deliver modern analytics, forecasting tools, AI-driven workflows, and more. You’ll play a key role in translating business goals into scalable outcomes in energy and utility domains, such as grid modernization, outage prediction, demand forecasting, and operational efficiency.

Key Responsibilities:

Agile Facilitation & Delivery

• Lead Agile ceremonies (planning, stand-ups, retrospectives, reviews) across 1–2 concurrent workstreams.
• Support backlog grooming, sprint planning, and estimation processes in partnership with product owners and tech leads.
• Maintain delivery momentum while protecting team focus and preventing scope creep.

Client Advisory & Consulting

• Operate as a thought partner to clients, helping them understand Agile roles, prioritize high-value work, and adapt to change.
• Serve as a communication bridge between business and technical stakeholders.
• Guide client stakeholders on delivery governance, roadmap planning, and Agile maturity.

Team Leadership

• Promote a culture of psychological safety, continuous learning, and high accountability.
• Help unblock delivery risks early—whether technical, interpersonal, or organizational.
• Coach junior team members and client contributors on Agile best practices.

Sector-Specific Awareness

• Understand the regulatory, operational, and data complexity within the energy/utility sector.
• Apply Agile delivery within contexts like decarbonization initiatives, DER integration, electrification planning, and customer experience improvements.

Qualifications:

Required

• 5–8 years of experience in Agile delivery, with 3+ years as a Scrum Master in data, AI, or software projects.
• Proven ability to manage cross-functional technical teams (data science, engineering, software).
• Experience in a professional services or consulting environment, working directly with clients.
• Strong interpersonal skills: assertive, diplomatic, organized, and outcome-driven.
• Proficient in tools such as DevOps, or similar platforms.

Preferred

• Familiarity with the energy/utilities industry or regulated sectors.
• Experience in programs involving AMI data, forecasting, reliability analytics, or DER enablement.
• Agile certifications (CSM, SAFe, PSM) and/or consulting credentials (PMP Agile, delivery excellence frameworks).

What Success Looks Like

• You’re not just facilitating—you’re advising and shaping delivery strategy.
• Your teams are unblocked, productive, and focused on business value.
• You build trust with technical and business stakeholders alike, balancing execution and empathy.
• You elevate delivery rigor while keeping the client’s strategic goals front and center.

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.