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Program Manager Data Analytics Jobs in Boston, MA

Chewy

Sr Program Manager

Boston, MA · On-site

$129K - $207K/yr

Your Opportunity Chewy is seeking a Senior Program Manager to join the Customer Care Defect ... Identify customer friction through data analysis, Voice of Customer insights, operational feedback ...

Beghou Consulting

Manager - Data Management

Boston, MA · On-site

Our mission is to bring together analytical minds and innovative technology to help life sciences ... You'll also receive a monthly phone stipend and access to an employee discount program. Growth ...

Chewy

Sr Program Manager

Boston, MA

$129K - $207K/yr

Your Opportunity Chewy is seeking a Senior Program Manager to join the Customer Care Defect ... Identify customer friction through data analysis, Voice of Customer insights, operational feedback ...

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All JobsProgram Data Analytics JobsProgram Manager Data Analytics JobsProgram Manager Data Analytics Jobs in Boston, MA

Program Manager Data Analytics information

See Boston, MA salary details

$41.8K

$116.7K

$170.6K

How much do program manager data analytics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for program manager data analytics in Boston, MA is $116,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $143,900.00 per year, depending on experience, location, and employer.

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a Program Manager in Data Analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.
What are popular job titles related to Program Manager Data Analytics jobs in Boston, MA? For Program Manager Data Analytics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Boston, MA look for? The top searched job categories for Program Manager Data Analytics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Program Manager Data Analytics jobs? Cities near Boston, MA with the most Program Manager Data Analytics job openings:
Program Manager Data Analytics jobs near you
Infographic showing various Program Manager Data Analytics job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $116,745 per year, or $56.1 per hour.
Director, Advanced Data Analytics and Insights

Director, Advanced Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$161K - $194K/yr

Full-time

Re-posted yesterday

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description

Job Description:

Position Description:

Generates analytical and data insights to drive business actions using SQL, Qlik/Tableau, Python, and R. Creates complex, automated analytics solutions using Text Mining and Natural Language Processing (NLP) tools. Extracts andanalyzescomplex information from large structured and unstructured datasets using data mining and data modeling, NLP, and Machine Learning (ML). Creates and manages Elasticsearch indexes and develops queries using KQL (Kibana Query Language) and DSL (Domain Specific Language). Creates custom visualizations in Kibana and Tableau. Analyzes large volumes of structured and unstructured data in Elasticsearch.

Primary Responsibilities:

  • Cleans and manipulates large volumes of raw data for analysis by statistical software.

  • Improves data analytics and insights capabilities using Adobe analytics.

  • Formulates and applies mathematical modeling and other optimizing methods to develop and interpret information thatassistswith decision making.

  • Delivers presentations of mathematical modeling and data analysis to management and other end users.

  • Overseesdaily, weekly, and monthly reporting cycles across analytic environments.

  • Analyzes large data sets to develop new processes, perform calculations,identifyanomalies, and/orproductnew reporting capabilities.

  • Mentors junior team members.

  • Works in a fast-paced environment delivering tactical and strategic technology solutions.

  • Establishes and project management data analytics and insights projects.

  • Contributes to the estimation, planning, analysis, design, and development of projects.

  • Fosters innovative technology solutions to resolve complex business problems.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, or a closely related field(or foreign education equivalent) and six (6)years of experience as a Director, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.

Or, alternatively,Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Information Systems Management, or a closely related field(or foreign education equivalent) and four (4)yearsof experience as a Director, Advanced Data Analytics and Insights (or closely related occupation) performing data analysis and writing code using SQL and Python programming languages.

Skills and Knowledge:

Candidate must alsopossess:

  • Demonstrated Expertise ("DE")generating insights for customer service strategy and customer experience touchpoints by extracting, transforming, and analyzing unstructured and semi-structured data -- text content (call/chat transcripts, social post) and customer-entered feedback (surveys and online tool interactions) -- using Natural Language Processing (NLP), LLM models/algorithms to identifying sentiment, extracting entities, text summarization, and performing text classification; and integrating data from various sources and internal data warehouses by creating standards and repeatable workflows-Elasticsearch, Snowflake, AWS and Oracle -- to process at scale.

  • DEquantifying and monitoring customer activities across channels by developing customer journeys using data preparation and visualization tools -- Power BI, Tableau, Kibana and Excel; and furnishing actionable insights that enable business decisions through 360-degree customer data mining using Cloud technologies - Elasticsearch, Snowflake, Oracle, and Amazon Web Services (AWS).

  • DEidentifying key trends and customer behaviors that influence business decisions by building hypothesis for mining digital or live channel data in AWS and Snowflake EDL, using SQL, Python, Elasticsearch and Amazon Web Services (AWS) technologies -- Athena, Glue, Sage maker, Kibana,S3,Quicksight, and API Gateway.

  • DEparsing, summarizing, and visualizing customer journeys across digital or live activities using Python, Tableau, Postman, and API methodologies; tying engagements to financial or operational transactions, using SQL and Python packages; supporting and informing client service strategies by performing statistical analysis, and data extraction, transformation, and summarization within the financial services industry-- using statistical methods (inferential statistics, hypothesis testing, and A/B testing) and data analytics software (Python, SQL, Elasticsearch).

Salary: $161,803.00- $194,000.00/year.

#PE1M2

#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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