National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Engagement Director, Utilities & Data Science - HYBRID

E Source
Birmingham
1 day ago
Create job alert

Job Details

Engagement Director, Data Science - REMOTE

Do you have an executive presence, a keen ability to facilitate the development of transformative ideas, and a passion for driving execution? Do you find satisfaction building long term, valuable relationships with clients? Then we’d love to talk to you! High-energy individuals with a healthy level of grit who enjoy communicating the business value of solutions will thrive and progress in our organization.

E Source is a solutions-based consulting, research and advisory, and data science firm that’s been a change agent in the utility industry for over 30 years.

We’re building a world-class client success organization. In this role, you’ll be involved in building client relationships and managing a portfolio of data science engagements.

The engagement director works closely with the director of client success and technical delivery leads to manage client relationships, ensure the overall success of data science projects, and drive retention, new revenue, and customer satisfaction.

A little about E Source 

 

E Source combines industry-leading research, data science, and consulting to help utilities make and implement better data-driven decisions that positively impact their customers, their bottom line, and our planet. Headquartered in Boulder, CO, we have teams across the US and Canada. Learn more at ;

How you'll help:

Build credibility. Become an established, trusted adviser to our clients by developing deep knowledge of a client’s strategic needs and aligning those needs with data science analytics opportunities, products/solutions within E Source Data Science, and best practices within or outside of the utility industry. Stakeholder content. Create persuasive presentations and other meaningful content to showcase project impacts and results, establish expertise, and support stakeholder engagement. Project communications. Translate complex topics and communicate clearly and consistently with clients and internal teams to shepherd projects from initiation to completion. Project management. Collaborate with technical project leads to ensure on-time delivery and monitor project hours and project margin. Strategic planning. Leverage vision and critical thinking to see multiple steps ahead and then take proactive steps to influence a project and ensure client success. Client retention. Create purposeful and customized plans to communicate value propositions, generate high customer satisfaction, and guide clients toward renewals and advocacy. Product development. Support the development of industry-leading data science offerings by facilitating voice-of-the-customer feedback and connecting client needs with company capabilities. Expand reach. Develop measurable strategies for increasing sphere of influence within the current client base and facilitate effective discussions to create interest in our service offerings and capabilities. Drive expansion revenue. Effectively scope new projects with current clients and execute the proposal development process in partnership with the director of client success and data science teams.

What will make you a great fit:

Excellent communication and interpersonal skills (written, verbal, and nonverbal) Ability to create compelling content and simplify complex topics in meaningful ways Obsession with delivering an exceptional customer experience Strong sense of urgency for accomplishing goals and exceeding expectations Capable of demonstrating the blend of initiative, grit, and patience required to confidently guide clients through the customer life cycle Collaborative temperament with an ability to cultivate relationships Tenacity, drive, and internal motivation Consultative selling skills Project and program management experience Technical acumen Analytical thinking skills Adaptability Ability to collaborate in a virtual environment

Basic qualifications

Minimum of five years’ experience in customer-facing roles (internal or external clients) Minimum of three years’ experience in leadership roles Proven track record in building strong client relationships Implementation and project management experience Agile or Waterfall experience Bachelor’s degree; business or technical field preferred Experience with utility grid (electric transmission and distribution), with customers (products and programs), or in another highly regulated industry

Preferred qualifications

MBA or equivalent post-baccalaureate experience Management consulting experience Large-scale management experience Experience with data science, data analytics, or another technical field Entrepreneurial experience

What you can expect:

Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; and medical and dependent-care flexible spending plans. 

A flexible time off (FTO) program where you can take as many paid days off per year as they need, with manager approval, while fulfilling their work obligations and ensuring proper coverage of their responsibilities. 

Flexible schedules, flexible work locations, and a paid parental leave benefit. 

A 401(k)/RRSP plan with a 3% employer match. 

The budgeted salary for this position is$130,000 to $170,000 + annual bonus. Actual pay will be adjusted based on experience.

This person can work remote, but expected to travel to Birmingham, AL10 business days a month at minimum.

Related Jobs

View all jobs

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

Associate Director, AI Data Scientist

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.