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Data Warehouse Project Manager Jobs in Boston, MA

Window World of Boston

Project Manager

Woburn, MA · On-site

$80 - $100/hr

You'll coordinate with homeowners, installation crews, warehouse personnel, suppliers, inspectors ... Manage project logistics and jobsite readiness * Monitor project profitability and job costs * Work ...

Window World of Boston

Project Manager

Woburn, MA · On-site

$65K - $75K/yr

You'll coordinate with homeowners, installation crews, warehouse personnel, suppliers, inspectors ... Manage project logistics and jobsite readiness * Monitor project profitability and job costs * Work ...

Deegit Inc

Data Modeler

Quincy, MA · On-site

$57.50 - $74.75/hr

Through understanding of data warehouse concepts * Optimize and update logical and physical data models to support new and existing projects. * Maintain conceptual, logical and physical data models ...

Sungage Financial

Senior Data Engineer

Boston, MA · On-site

$125 - $150/hr

The role involves data warehouse management (including SQL and Python-based programming to structure data flows and data sources, providing input on data architecture, as well as managing automated ...

Sungage Financial

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The role involves data warehouse management (including SQL and Python-based programming to structure data flows and data sources, providing input on data architecture, as well as managing automated ...

Sungage Financial

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The role involves data warehouse management (including SQL and Python-based programming to structure data flows and data sources, providing input on data architecture, as well as managing automated ...

cookboardman

Assistant Project Manager

Boston, MA · On-site

Track project orders and provide status updates, including shipment tracking and warehouse ... Support the project submittal process including product data sheets, samples, schedules, RFIs ...

cookboardman

Assistant Project Manager

Boston, MA · On-site

Track project orders and provide status updates, including shipment tracking and warehouse ... Support the project submittal process including product data sheets, samples, schedules, RFIs ...

Altorel LLC

BI Developer -SSAS / Big Data

Boston, MA · On-site

... data warehouse and business intelligence solutions/reports requested by Client Insurance management, statutory entities, and other internal and external customers. This position will be an integral ...

Altorel LLC

BI Developer -SSAS / Big Data

Boston, MA · On-site

... data warehouse and business intelligence solutions/reports requested by Client Insurance management, statutory entities, and other internal and external customers. This position will be an integral ...

Window World

Project Manager

Woburn, MA

$65K - $75K/yr

You'll coordinate with homeowners, installation crews, warehouse personnel, suppliers, inspectors ... Manage project logistics and jobsite readiness * Monitor project profitability and job costs * Work ...

Window World

Project Manager

Woburn, MA · On-site

$65K - $75K/yr

You'll coordinate with homeowners, installation crews, warehouse personnel, suppliers, inspectors ... Manage project logistics and jobsite readiness * Monitor project profitability and job costs * Work ...

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All JobsData Warehouse Project JobsData Warehouse Project Manager JobsData Warehouse Project Manager Jobs in Boston, MA

Data Warehouse Project Manager information

See Boston, MA salary details

$27.2K

$136.7K

$185.8K

How much do data warehouse project manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data warehouse project manager in Boston, MA is $136,726.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $173,800.00 per year, depending on experience, location, and employer.

What is a data warehouse project manager?

Data Warehouse Project Managers are professionals responsible for overseeing the planning, execution, and delivery of data warehouse projects within an organization. They coordinate teams of data engineers, analysts, and stakeholders to ensure that data storage, integration, and reporting solutions are implemented on time and within budget. Their role involves managing project timelines, resources, risks, and communication, as well as ensuring that the data warehouse meets business requirements. They also play a crucial part in aligning technical solutions with organizational goals and regulatory standards.

What are the key skills and qualifications needed to thrive as a data warehouse project manager?

To thrive as a Data Warehouse Project Manager, you need strong project management skills, a background in data warehousing concepts, and experience with data modeling, ETL processes, and database systems. Familiarity with tools like Microsoft Project, Jira, SQL, and data integration platforms, as well as certifications such as PMP or Agile, are typically required. Excellent communication, leadership, and problem-solving skills help facilitate collaboration among technical and business stakeholders. These abilities ensure projects are delivered on time, within scope, and aligned with organizational data strategy.

What are the main challenges faced by a data warehouse project manager when coordinating between business stakeholders and technical teams?

A significant challenge for Data Warehouse Project Managers is bridging the gap between business stakeholders, who focus on data-driven insights, and technical teams, who handle complex architectures and data integration. Ensuring clear communication around requirements, timelines, and deliverables is essential, as misalignment can lead to project delays or unmet objectives. Successful managers facilitate regular meetings, translate business needs into technical specifications, and proactively address roadblocks to keep everyone aligned throughout the project lifecycle.

What is the difference between Data Warehouse Project Manager vs Data Analyst?

AspectData Warehouse Project ManagerData Analyst
Required CredentialsBachelor's in IT, Business, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires SQL, Excel, and data visualization skills
Work EnvironmentLeads projects, manages teams, coordinates between stakeholders in data warehousing projectsAnalyzes data, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in organizations with large data infrastructure, IT departments, data-driven companiesCommon across industries for business insights, marketing, finance, and operations

The Data Warehouse Project Manager focuses on overseeing data warehousing projects, managing teams, and ensuring project delivery. In contrast, a Data Analyst primarily interprets data, creates reports, and supports business decisions. Both roles require strong analytical skills, but their responsibilities and focus differ significantly.

Is data warehouse a good career?

A Data Warehouse Project Manager plays a key role in overseeing data integration and storage projects, requiring skills in database management, SQL, and project coordination. The field offers strong job growth, competitive salaries, and opportunities to work with advanced analytics tools, making it a viable career choice for those interested in data management and technology. Continuous learning and certifications can enhance career prospects in this field.

What are popular job titles related to Data Warehouse Project Manager jobs in Boston, MA?

For Data Warehouse Project Manager jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Data Warehouse Project Manager jobs in Boston, MA look for?

The top searched job categories for Data Warehouse Project Manager jobs in Boston, MA are:

Data Warehouse Project Manager jobs near you
Infographic showing various Data Warehouse Project Manager job openings in Boston, MA as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $136,726 per year, or $65.7 per hour.

Snowflake Finance Data & AI Architect Manager

Deloitte

Boston, MA • On-site

Full-time

Posted 7 days ago

Key responsibilities

  • Lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI.

  • Guide architecture from strategy through production, including defining architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption.

  • Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services

Job description

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.


Recruiting for this role ends on XX/XX/XXXX.


Work you'll do

As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.

Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption

Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence

Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview

Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting

Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI

Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses

Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting


A successful candidate would possess these skills:

?Ability to work independently and collaborate as part of a team

?Ability to translate finance outcomes into clear architecture decisions

?Effective written, verbal, and executive communication skills

?Meticulous attention to detail and quality of work product

?Ability to build and sustain professional relationships

?Ability to lead projects or workstreams

?Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

?Ability to meet deadlines

?Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.


Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.


Qualifications

Required:

6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment

4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment

4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview

Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization

Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls

Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports

Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field

2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams


Qualifications:

In an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, finance and global business services leaders recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.

Deloitte helps navigate this complexity by bringing deep industry insights and integrated solutions to achieve business objectives. From strategy to technology to operations, and across workforce, risk, assurance, and tax, Deloitte helps drive value along the Finance Transformation journey.


Recruiting for this role ends on XX/XX/XXXX.


Work you'll do

As a Finance Data & AI Manager specializing in Microsoft Azure and Fabric, you'll lead teams that design end-to-end solutions from source integration and OneLake through trusted data products, AI, and Power BI. You will guide architecture from strategy through production.

Lead engagements or workstreams that define end-to-end Azure and Fabric architectures across integration, OneLake, lakehouse/warehouse, security, AI, and finance consumption

Guide batch, streaming, mirroring, and orchestration design with Fabric Data Factory, Data Engineering, Spark, Data Warehouse, and Real-Time Intelligence

Establish governance, lineage, Entra-based access, data quality, observability, service-level objectives, and remediation with Microsoft Purview

Define reusable finance data products, canonical models, OneLake sharing, APIs, and governed semantic models for planning, close, profitability, treasury, and reporting

Architect production ML and generative and agentic AI with Fabric Data Science and Azure AI services, MLOps and LLMOps, evaluation, monitoring, and responsible AI

Manage client relationships, estimates, design reviews, deployment, capacity and cost outcomes; mentor teams and support demonstrations, proposals, and RFP responses

Agentic Redesign of Finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting


A successful candidate would possess these skills:

?Ability to work independently and collaborate as part of a team

?Ability to translate finance outcomes into clear architecture decisions

?Effective written, verbal, and executive communication skills

?Meticulous attention to detail and quality of work product

?Ability to build and sustain professional relationships

?Ability to lead projects or workstreams

?Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

?Ability to meet deadlines

?Ability to mentor and provide clear guidance to others

The team

Deloitte's Finance Transformation offering helps finance and global business services leaders navigate an increasingly challenging environment marked by disruptive tech like AI, market uncertainty, and regulatory change, and recognize the opportunity to better serve the enterprise, shareholders, customers, and regulators.


Within the Finance Transformation offering, our Business Finance team drives strategic value through planning, forecasting, and analytics. We design trusted finance data products, modern platforms, and AI-enabled solutions that deliver timely, actionable insights.


Qualifications

Required:

6+ years of experience architecting enterprise data, analytics, or AI solutions in a corporate or consulting environment

4+ years of experience designing Azure or Fabric solutions across data engineering, lakehouse/warehouse, security, performance, and multi-environment deployment

4+ years of experience with finance data and processes such as planning, forecasting, close, profitability, treasury, or reporting

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or a related field

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Experience with OneLake, Lakehouse, Data Warehouse, Data Factory, Data Engineering, Real-Time Intelligence, Direct Lake, Power BI, and Purview

Experience with data quality, observability, lineage, testing, CI/CD, infrastructure as code, and capacity/cost optimization

Experience deploying ML, retrieval-augmented generation, or agentic AI with Azure AI or Fabric Data Science and responsible AI controls

Experience integrating SAP, Oracle, Workday, Anaplan, or OneStream and building governed Power BI semantic models, DAX measures, and reports

Microsoft certification in Azure architecture, Fabric, or Power BI; or a master's degree in a related field

2+ years of experience supporting pre-sales, proposals, RFP responses, and mentoring data and AI delivery teams


Education:Bachelor's DegreeEmployment Type:

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