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Financial Data Manager Jobs in Baltimore, MD (NOW HIRING)

The GEO Group

DATA MANAGER

Baltimore, MD · On-site

$72K/yr

At GEO, we believe in the three pillars of employee wellbeing: physical, emotional, and financial ... The Data Manager will be responsible for the overseeing and processing collection, management ...

The GEO Group

DATA MANAGER

Baltimore, MD · On-site

At GEO, we believe in the three pillars of employee wellbeing: physical, emotional, and financial ... The Data Manager will be responsible for the overseeing and processing collection, management ...

The GEO Group

DATA MANAGER

Baltimore, MD · On-site

$72K/yr

At GEO, we believe in the three pillars of employee wellbeing: physical, emotional, and financial ... The Data Manager will be responsible for the overseeing and processing collection, management ...

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All JobsFinancial Data JobsFinancial Data Manager JobsFinancial Data Manager Jobs in Baltimore, MD

Financial Data Manager information

See Baltimore, MD salary details

$30.8K

$96.5K

$170.9K

How much do financial data manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for financial data manager in Baltimore, MD is $96,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $124,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a financial data manager, and why are they important?

To thrive as a Financial Data Manager, you need expertise in finance, data analysis, and accounting principles, often supported by a degree in finance or a related field. Familiarity with financial management software, data visualization tools, and systems like SQL or SAP, as well as certifications such as CFA or CPA, are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with stakeholders. These competencies ensure accurate financial reporting, informed decision-making, and efficient management of financial information for organizational success.

What is the difference between Financial Data Manager vs Financial Analyst?

AspectFinancial Data ManagerFinancial Analyst
CredentialsBachelor's degree in finance, accounting, or related field; certifications like CFA or CPA beneficialBachelor's degree in finance, economics, or related; CFA certification often preferred
Work EnvironmentData-focused roles within finance departments, often in corporate or financial institutionsAnalytical roles in investment firms, banks, or corporate finance teams
Employer & Industry UsageUsed in finance departments managing large datasets, reporting, and data integrityUsed for investment analysis, financial planning, and market research

Financial Data Managers focus on managing and maintaining financial datasets, ensuring data accuracy and integrity. Financial Analysts interpret this data to provide insights, forecasts, and investment recommendations. While both roles require strong analytical skills and finance knowledge, the Data Manager emphasizes data management, whereas the Analyst emphasizes data analysis and decision-making support.

What are some common challenges financial data managers face when ensuring data integrity across multiple systems?

Financial Data Managers often encounter challenges related to data consistency and accuracy, especially when integrating information from various financial software and databases. Discrepancies can arise due to differing data formats, real-time updates, and legacy systems, requiring careful validation and reconciliation processes. To address these issues, Financial Data Managers collaborate closely with IT teams, auditors, and financial analysts to establish robust data governance protocols and regular quality checks. This collaborative approach helps maintain trustworthy financial reporting and supports strategic business decisions.

What does a financial data manager do?

A Financial Data Manager oversees the collection, analysis, and management of financial data within an organization. They ensure the accuracy and integrity of financial information, develop data management strategies, and support decision-making by providing relevant financial insights. Their role often involves working with large datasets, implementing financial software, and collaborating with accounting and finance teams to streamline reporting and compliance processes.
What are popular job titles related to Financial Data Manager jobs in Baltimore, MD? For Financial Data Manager jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Financial Data Manager jobs in Baltimore, MD look for? The top searched job categories for Financial Data Manager jobs in Baltimore, MD are:
Financial Data Manager jobs near you
Infographic showing various Financial Data Manager job openings in Baltimore, MD as of August 2026, with employment types broken down into 51% Full Time, 16% Temporary, and 33% Contract. Highlights an 74% In-person, 16% Hybrid, and 10% Remote job distribution, with an average salary of $96,527 per year, or $46.4 per hour.

Financial Data and Analytics Manager

Jensen Hughes

Columbia, MD • On-site

Full-time

Posted 22 days ago

Job description

Company Overview

Throughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering - a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields - from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.

Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient.

At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. 

Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together.

Job Overview

We are seeking an experienced finance-forward Data & Analytics Manager to bridge financial insight with advanced analytics across the organization. This role will partner directly with Finance and Operations leadership to transform complex data into actionable business decisions, improve operational performance, and accelerate finance transformation initiatives. 

The ideal candidate combines strong financial acumen with hands-on data expertise, including large-scale data modeling, data engineering, data conditioning, Power BI, and modern analytics tools. This role is not purely technical; it requires someone who understands how project delivery, utilization, and margin drivers translate into financial performance in a professional services environment. 

Responsibilities

  • Build and scale data models, dashboards, and analytical frameworks to support portfolio, pricing, and resource planning decisions 
  • Develop and execute the Finance AI Strategic Roadmap by identifying practical use cases, coordinating stakeholders, and embedding AI-enabled insights into finance processes and decision-making. 
  • Support strategic initiatives including profitability improvement, price leverage analysis, backlog optimization, and global scaling efforts 
  • Identify drivers of margin, utilization, and project performance, and recommend actions to improve outcomes 
  • Deliver concise, executive-ready insights and presentations for Finance leadership and ELT  
  • Partner with FP&A and operational leaders to translate data into actionable financial insights and recommendations 

Requirements and Qualifications

Required Qualifications: 

  • Bachelor's degree in Finance, Economics, Data Science, Mathematics, Engineering, or related field 
  • 5+ years of experience in finance analytics, business intelligence, FP&A analytics, or decision support, including ownership of KPI frameworks, data models, dashboards, and recurring performance reporting for senior business stakeholders 
  • Strong experience with Power BI; experience building scalable dashboards and data models 
  • Strong foundation in finance (P&L, margin drivers, utilization, forecasting) in a project-based or professional services environment 
  • Experience developing and executing an AI/ML roadmap for finance, including identifying practical use cases and embedding predictive or AI-enabled insights into planning, forecasting, reporting, or decision-making processes 
  • Deep understanding of project-based business models and how operational decisions impact financial outcomes 
  • Proven ability to own analytics workstreams end-to-end, including data sourcing, data engineering, big data integration, data conditioning, and development of scalable data models that support executive-level insights beyond dashboard visualization 
  • Experience working cross-functionally with Finance, Operations, IT, and senior leadership to translate analytics into recommendations, and advise on business data informed outcomes 
  • Demonstrated impact in driving performance improvement, cost optimization, or strategic decision-making  
  • Ability to simplify complex data into clear, actionable insights for non-technical stakeholders 
  • Advanced Excel and financial modeling skills 

Preferred Skills and Experience: 

  • Proficiency with SQL, Python, R, or Alteryx 
  • Experience with ERP/project systems (e.g., Deltek Costpoint, CRM) 
  • Exposure to AI/ML tools or predictive analytics applied to finance or operations 

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