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Senior Data Strategy Jobs in Boston, MA (NOW HIRING)

Sr Data Analyst

Boston, MA · On-site

$93K - $117K/yr

The Senior Data Analyst will provide support to key projects through data collection, computational ... and strategic direction, resource allocation, internal and external reporting, and other ...

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

The Senior Data Analyst will provide support to key projects through data collection, computational ... and strategic direction, resource allocation, internal and external reporting, and other ...

Are you interested in investment data strategies across a wide variety of traditional and ... The MFS Investment Data Management Office is actively searching for a Senior Data Engineer to ...

Senior Data Engineer

Boston, MA · Remote

$108K - $147K/yr

As a Senior Data Engineer , you will work closely with cross-functional teams to ensure our data ... Architecture & Strategy * Design and implement scalable, secure, and high-performance data ...

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Senior Data Strategy information

See Boston, MA salary details

$26.1K

$107.6K

$181.4K

How much do senior data strategy jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior data strategy in Boston, MA is $107,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $116,200.00 per year, depending on experience, location, and employer.

What does a senior data strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a senior data strategy professional?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a senior data strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in Boston, MA?

The most popular types of Data Strategy jobs in Boston, MA are:

What job categories do people searching Senior Data Strategy jobs in Boston, MA look for?

The top searched job categories for Senior Data Strategy jobs in Boston, MA are:

What cities near Boston, MA are hiring for Senior Data Strategy jobs?

Cities near Boston, MA with the most Senior Data Strategy job openings:

Senior Data Architect

Boston, MA • Remote

$100 - $110/hr

Contractor

Re-posted 20 days ago


Job description

As a Senior Data Architect, you will lead solution architecture for a high-visibility enterprise data strategy program, and will be responsible for designing the target-state data platform and explaining it clearly to business stakeholders.
Responsibilities: 
  • Solution architecture for a strategic enterprise data program — current-state assessment through target-state design and roadmap.
  • Designing a governed, AWS-centric data lakehouse: Apache Iceberg on Amazon S3 / S3 Tables, with Trino, Apache Spark, and Amazon Athena for query and compute.
  • Data virtualization/federation (Denodo) to make on-prem Oracle data consumable by cloud sources.
  • Conceptual, logical, and physical data modeling in erwin, to enterprise modeling standards.
  • Working within data governance and architecture governance: data-as-a-product, raw/work/publish zone standards, cataloging in Alation.
  • Enabling the platform's AI layer — Amazon Bedrock, Bedrock AgentCore, MCP servers — plus tools like Dataiku and potentially Databricks.

Qualifications:
  • Senior data architecture experience (10+ years as a guide) on enterprise programs.
  • AWS-centric data platform depth: S3 / S3 Tables, Athena, AWS-native analytics.
  • Hands-on lakehouse: Apache Iceberg, Trino, Apache Spark.
  • PostgreSQL / cloud databases; experience consuming on-prem Oracle sources.
  • Expert data modeling (conceptual/logical/physical) in Erwin.
  • Data governance & architecture governance; modeling standards, zone standards, data-as-a-product / data mesh.
  • Data catalog/governance tooling — Alation strongly preferred.
  • Strong communicator who can explain complex technical concepts to business users and collaborate with other data teams such as actuaries. Comfortable being visible from director level through engineering.

Nice Qualifications to have:
  • GenAI / agentic solutions on Amazon Bedrock and Bedrock Agent.
  • Core.MCP (Model Context Protocol) servers.
  • Dataiku and/or Databricks.
  • Financial services/insurance domain experience.