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Director Data Engineering Jobs in Chelsea, MA (NOW HIRING)

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Strong programming skills, particularly in Python * Extensive experience in multi-modal ...

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Strong programming skills, particularly in Python * Extensive experience in multi-modal ...

Bridgenext, Inc.

Engineering Director

Boston, MA · On-site

$200 - $250/hr

Position Description We are seeking a highly experienced Engineering Director to be a Data Solutions Architect in our Global Data Practice and Engineering & Technology team. This role requires a ...

CookUnity

Director, Data Science/ML

Boston, MA · On-site

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ...

UKG, Inc.

Sr Director Data Science

Lowell, MA · On-site

About the role: The Senior Director of Data Science leads the strategy, execution, and ... Partner with engineering teams to operationalize models at scale through MLOps and AI platform ...

MSD Malaysia

Associate Director, Data Science

Boston, MA · On-site

$160 - $251/hr

... Director (Associate Principal Scientist) to join our data science team. We are seeking an ... D. (with 4+ years) in a quantitative discipline such as Engineering, Applied Physics/Mathematics ...

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Showing results 41-60

All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Chelsea, MA

Director Data Engineering information

See Chelsea, MA salary details

$79.3K

$211.6K

$276K

How much do director data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director data engineering in Chelsea, MA is $211,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $153,800.00 and $274,900.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are popular job titles related to Director Data Engineering jobs in Chelsea, MA?

For Director Data Engineering jobs in Chelsea, MA, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Chelsea, MA look for?

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Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Chelsea, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $211,575 per year, or $101.7 per hour.

Senior Director, Data and AI

Staples Advantage Canada

Framingham, MA • On-site

$200 - $250/hr

Other

Retirement, PTO

Posted 6 days ago

Key responsibilities

  • Define and execute the enterprise strategy and multi-year roadmap for data products, data platforms, machine learning, generative AI, advanced analytics, and intelligent automation.

  • Own the data and AI product lifecycle from intake and prioritization through funding, delivery, adoption, optimization, and retirement.

  • Partner with business, Product, Engineering, Architecture, Security, Legal, Privacy, Risk, and Finance leaders to deliver scalable solutions.

Job description

Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.

The Senior Director, Data Product and AI Delivery defines and executes the enterprise strategy, operating model, portfolio, and delivery roadmap for data products, data platforms, artificial intelligence, and data-driven transformation. This leader converts business priorities into scalable, secure, governed, and adopted data and AI solutions that improve decisions, automate work, strengthen customer and partner experiences, and deliver measurable value. The role leads a strategically important, business-critical function through Directors, Senior Managers, and Managers, with accountability for portfolio governance, responsible AI, platform modernization, resource allocation, investment planning, and production delivery.

What you’ll be doing:
  • Define and execute the enterprise strategy and multi-year roadmap for data products, data platforms, machine learning, generative AI, advanced analytics, and intelligent automation.
  • Translate business priorities into product portfolios, investment plans, operating objectives, delivery roadmaps, and measurable outcomes.
  • Own the data and AI product lifecycle from intake and prioritization through funding, delivery, adoption, optimization, and retirement.
  • Prioritize investments based on strategic alignment, business value, customer impact, feasibility, risk, readiness, and total cost of ownership.
  • Translate AI strategy into production-ready applications for Supply Chain, Marketplace, and other business workflows.
  • Partner with business, Product, Engineering, Architecture, Security, Legal, Privacy, Risk, and Finance leaders to deliver scalable solutions.
  • Establish enterprise standards and operating models for data products, responsible AI, data quality, stewardship, privacy, security, and model governance.
  • Guide modernization of cloud data platforms, AI platforms, architecture, integrations, observability, and model operations.
  • Monitor portfolio delivery, adoption, reliability, financial performance, risk, and realized business value.
  • Develop multi-year investment plans, annual budgets, capacity plans, workforce strategies, and vendor roadmaps.
  • Lead strategic vendor selection, contract negotiations, performance management, and remediation.
  • Lead Directors, Senior Managers, Managers, product leaders, and multidisciplinary data and AI teams while building an inclusive, accountable, outcome-oriented culture.
  • Recruit, coach, develop, and retain leaders, and maintain succession and development strategies for critical leadership and technical roles.
What you bring to the table:
  • Strategic leadership with the ability to develop and execute enterprise data and AI strategies.
  • Executive communication skills and the ability to translate complex data, AI, technology, investment, and risk topics into clear business terms.
  • Stakeholder influence and the ability to build alignment and drive results across functions and leadership levels.
  • Strong business acumen with the ability to connect data and AI investments to measurable business outcomes.
  • Change leadership experience and the ability to guide enterprise transformation and sustained adoption.
  • Sound judgment and decision-making in complex, ambiguous, and high-impact situations.
  • Talent leadership with a track record of building, developing, and retaining high-performing leadership teams.
  • An innovation mindset focused on identifying and scaling practical, responsible data and AI solutions.
What’s needed- Basic Qualifications:
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Business, Technology Management, or a related field or equivalent work experience.
  • 12+ years of progressive experience in data products, data platforms, analytics, artificial intelligence, technology strategy, digital transformation, product management, or a related field.
  • 7+ years of formal people management experience.
  • 5+ years leading Directors, Senior Managers, or equivalent leaders.
  • 5+ years leading enterprise-scale transformation, product portfolio, platform modernization, or AI delivery initiatives.
  • Experience leading at least one enterprise transformation or product portfolio spanning three or more business functions, business units, or operating domains.
  • Experience owning a multi-year data, AI, platform, or digital product strategy that included objectives, investments, governance, roadmaps, and outcomes.
  • Experience delivering at least two production data, analytics, automation, machine learning, or AI capabilities with defined adoption and business outcome measures.
  • Experience presenting strategy, investment, portfolio, or risk recommendations directly to Vice President-level or higher leaders.
  • Experience managing a data, analytics, AI, platform, or technology portfolio with budget, capacity, vendor, milestone, risk, and value accountability.
  • Experience establishing or materially redesigning at least one operating model or governance framework for data products, platforms, data management, AI, or responsible technology use.
  • Experience leading cross-functional initiatives involving business or Product, Engineering, Architecture, Security, Privacy or Legal, Finance, and Operations.
  • Experience leading vendor selection, contract negotiation, performance management, or remediation for at least one strategic technology or data partner.
What’s needed- Preferred Qualifications:
  • Master’s degree or MBA in a relevant discipline.
  • Experience developing and executing an enterprise AI, machine learning, generative AI, or responsible AI strategy.
  • Experience delivering at least one production AI or advanced analytics capability in Supply Chain.
  • Experience delivering at least one production AI or advanced analytics capability in Marketplace, digital commerce, merchandising, or a comparable channel.
  • Experience leading modernization of a cloud-based data or AI platform serving multiple business domains.
  • Experience building or scaling a data product, AI product, analytics product, platform product, or AI delivery organization of 25+ employees and contractors.
  • Experience managing annual operating and investment budgets totaling $10 million or more.
  • Experience leading three or more complex vendor negotiations or strategic technology partnerships.
  • At least one current certification in cloud technology, AI, product management, agile delivery, data management, program management, security, or enterprise architecture.
  • Demonstrated measurable business value from data or AI initiatives through revenue, margin, productivity, service, working capital, risk, quality, or customer-experience results.
We Offer:
  • Inclusive culture with associate-led Business Resource Groups
  • 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
  • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.

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