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Data Operations Jobs in Boston, MA (NOW HIRING)

Soni Resources

Head of Data

Needham, MA · On-site

$250K/yr

Define and execute an enterprise data strategy aligned with organizational growth and operational priorities * Serve as a strategic advisor to executive leadership on data, analytics, and AI ...

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All JobsData Operations JobsData Operations Jobs in Boston, MA

Data Operations information

See Boston, MA salary details

$56.5K

$139.6K

$217.3K

How much do data operations jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data operations in Boston, MA is $139,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $177,600.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What jobs pay 200,000 a year in the USA?

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
What are the most commonly searched types of Data Operations jobs in Boston, MA? The most popular types of Data Operations jobs in Boston, MA are:
What are popular job titles related to Data Operations jobs in Boston, MA? For Data Operations jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Boston, MA look for? The top searched job categories for Data Operations jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Operations jobs? Cities near Boston, MA with the most Data Operations job openings:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $139,630 per year, or $67.1 per hour.
Senior GTM Operations Data Manager

Senior GTM Operations Data Manager

Tulip Interfaces

Somerville, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week.
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.
A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."
The Role:
This is a high-leverage strategic role focused on the "Growth" side of the house. You will own the data architecture and strategic planning that powers our Sales organization. Your mission is to use data and AI to ensure our Sales team is targeting the right accounts, at the right price, with the most efficient process possible. You are the architect of our Go-To-Market (GTM) engine.
About You:
You are a strategic architect who thrives at the intersection of data science, commercial strategy, and systems engineering. You have a passion for technology and speak fluently about current SaaS, IIoT, cloud, and AI trends, including actively using modern tools plus AI-assisted tools to work more effectively. You don't just build dashboards; you build the structural integrity of the entire Sales engine. You possess a "systems-first" mindset, naturally obsessed with creating scalable structures and clean data schemas that allow for advanced AI modeling and predictive lead scoring. As a master communicator, you can distill complex pricing simulations or TAM (Total Addressable Market) analyses into clear, executive-level narratives that drive board-level decisions. You are deeply curious about the frontier of Revenue Operations, constantly evaluating how AI can be leveraged for territory optimization, pipeline forecasting, and automated prospecting intelligence.
What skills do I need?
  • 8-10+ years in Sales Ops, GTM Strategy, or Management Consulting within B2B SaaS.
  • Proven track record of redesigning Salesforce data structures, lead routing logic, and attribution models to support high-growth teams.
  • AI & Planning Proficiency: Experience evaluating or deploying AI for Sales, such as predictive lead scoring, automated territory carving, or AI-driven "Next Best Action" for reps.
  • Advanced Modeling: Expert SQL and Excel/Sheets skills are non-negotiable.
    • Deep experience with Sigma, Tableau, or Power BI.
    • Advanced Salesforce (SFDC) knowledge; ability to partner with Admins to drive architectural changes.
  • Experience leading TAM/SAM/SOM analysis, Pricing & Packaging redesigns, and Sales Incentive/Commission planning.
  • Bachelor degree in relevant field required. MBA preferred.

Key Responsibilities:
  • Define the "Golden Record" ICP and use AI/data to carve territories for optimal rep productivity and coverage
  • Actively uses AI tools in your analytical workflow: AI-assisted coding (SQL, Python), LLM-assisted synthesis of stakeholder inputs, and AI-powered drafting of executive communications. Comfort using AI to move faster on ambiguous requests is a genuine differentiator for this role.
  • Evaluate and pilot AI tools for pipeline prioritization; build models to predict lead conversion based on win patterns
  • Partner with Finance and Product on pricing changes; analyze discounts and win/loss data to optimize Price Book and packaging
  • Redesign funnel stages and data requirements to ensure accurate stage transitions for high-fidelity forecasting
  • Build "Scenario Models" (e.g., headcount changes) to support leadership's fiscal planning
  • Identify process bottlenecks (legal cycles, slow lead response) and drive cross-functional projects to eliminate them

Key Collaborators:
  • Sales leads
    • To align territory and quota strategy.
  • Marketing Ops
    • To ensure the "Lead-to-Sales" handoff is seamless and automated.
  • Finance
    • To align sales targets with the company's financial goals and P&L.
  • Sales Enablement
    • To ensure the field understands and adopts new data-driven processes.
  • GTMO
  • Leadership team

Working At Tulip
We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered.
We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
  • Direct impact on product and culture
  • Company equity
  • Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
  • Flexible work schedule and unlimited vacation policy
  • Learning & Development program
  • Virtual company events and happy hours
  • Fitness subsidies
  • An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $120,000 - $165,000 per year, based on a level 4 (minimum) to a level 5 (maximum), and is eligible for on-target earnings (OTE). The final level will be determined during the interview process.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

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