Service Delivery Manager, Domino Data Lab
$130-150k
More information about location
Enterprise AI platform
Job no longer available
Enterprise AI platform
201-500 employees
Job no longer available
$130-150k
More information about location
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- We’re seeking a proven delivery leader with a track record of driving successful software implementations in complex enterprise environments. You’ll be at the center of high-impact customer engagements, so a blend of technical fluency, business acumen, and relationship management is essential
- 3+ years of experience leading software implementations at an enterprise software vendor, with a strong understanding of release cycles, implementation challenges, and cross-functional collaboration
- Hands-on experience delivering large-scale software implementations within complex, matrixed organizations — ideally across multiple geographies or business units
- Diverse industry exposure, with a strong preference for those who have led delivery projects in Financial Services and/or Life Sciences
- A proven history of delivering projects ahead of schedule, under budget, and with exceptional customer satisfaction — this is a client-facing role, and success is measured by outcomes, not just activity
- Exceptional organizational and problem-solving skills — able to juggle multiple priorities without losing focus on the details
- A high standard of personal accountability and professional integrity
- A growth mindset — curious, coachable, and committed to continuous improvement (both personally and for your clients)
What the job involves
- As an Enterprise Delivery Manager, you won’t just manage projects — you’ll lead the delivery of AI-powered solutions that tackle mission-critical problems for some of the world’s most influential organizations
- You’ll take end-to-end ownership of large-scale implementation projects across Financial Services, Life Sciences, and US Federal sectors
- These are high-stakes engagements where precision, speed, and innovation matter
- Accelerating drug discovery by building AI-driven Statistical Computing Environments for leading pharmaceutical companies — cutting clinical trial cycles and enabling faster regulatory submissions
- Modernizing insurance operations, reducing underwriting time from days to minutes, and implementing modular global pricing models
- Advancing national security, deploying predictive analytics for underwater threat detection and crime mapping using geo-spatial data
- Improving global food production, delivering intelligent solutions to help farmers grow crops more efficiently using data science and AI
- You’ll collaborate cross-functionally with engineers, data scientists, product leaders, and client stakeholders to ensure every solution is built to the highest standards — on time, on budget, and with measurable business outcomes. Along the way, you’ll track KPIs, gather client feedback, and continuously improve delivery processes to raise the bar on customer success
- In short: you’ll turn complex enterprise needs into powerful AI solutions that drive transformation on a global scale
- Service Delivery Managers (SDM) serve as the strategic point of contact for enterprise clients, managing full lifecycle delivery of large-scale AI and MLOps implementations. From onboarding to post-launch success, you’ll ensure excellence in execution, outcomes, and customer experience
- You’ll work with some of the best minds in AI—engineers, data scientists, and product leaders—to solve industry-defining problems. Think accelerating drug discovery, reducing underwriting from days to minutes, or mapping criminal patterns with predictive analytics
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
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