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

FP&A Senior Manager

Rockville, MD · On-site

$111K - $151K/yr

... translate financial data into actionable insight and decision-relevant recommendations ... Manage WIP and AR reserve process in coordination with accounting; ensure accuracy of revenue ...

FP&A Senior Manager

Rockville, MD

$111K - $151K/yr

... translate financial data into actionable insight and decision-relevant recommendations ... Manage WIP and AR reserve process in coordination with accounting; ensure accuracy of revenue ...

Manager, FP&A

Leesburg, VA · On-site

$135K - $150K/yr

This position translates complex financial data into clear, actionable insights for senior ... Manage the delivery of recurring and ad-hoc lender reporting, including covenant calculations ...

Product Marketing Manager

Gaithersburg, MD · On-site

$166K/yr

We provide a platform that combines B2B payments, financial data integration, corporate-to-bank connectivity, transaction processing, and managed services; enabling organizations to simplify ...

Product Marketing Manager

Gaithersburg, MD · On-site

$166K/yr

We provide a platform that combines B2B payments, financial data integration, corporate-to-bank connectivity, transaction processing, and managed services; enabling organizations to simplify ...

Manager, FP&A

Leesburg, VA · On-site

$135 - $150/hr

This position translates complex financial data into clear, actionable insights for senior ... Manage the delivery of recurring and ad-hoc lender reporting, including covenant calculations ...

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Showing results 1-20

Financial Data Manager information

See Frederick, MD salary details

$30.8K

$96.6K

$171K

How much do financial data manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for financial data manager in Frederick, MD is $96,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $124,800.00 per year, depending on experience, location, and employer.

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 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 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 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 is financial data management?

Financial data management involves collecting, organizing, and maintaining financial information to ensure accuracy, security, and accessibility for analysis and reporting. It often requires proficiency with database tools, spreadsheets, and financial software, and is essential for informed decision-making in finance roles like a Financial Data Manager.

What cities near Frederick, MD are hiring for Financial Data Manager jobs?

Cities near Frederick, MD with the most Financial Data Manager job openings:

Senior Data & AI Analyst, Finance Systems

Germantown, MD • On-site


AeroVironment
Manufacturing • 1 - 5K employees

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

7th of 72 rated aerospace companies

Good employer

Paid breaks

Respectful managers


Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago


Job description

Worker Type

Regular


Job Description

Summary
The Senior Data & AI Analyst, Finance Systems owns financial data migration for Oracle Fusion implementation while pioneering the use of AI, large language models (LLMs), and intelligent agents to transform finance operations. This role combines traditional data conversion excellence with cutting-edge AI capabilities, building intelligent workflows for data quality, process automation, anomaly detection, and predictive analytics. This position reports directly to the Director, Finance Systems and serves as the technical lead for data and emerging AI initiatives.
Position Responsibilities

Finance Systems Data Operations & Migration
  • Lead end-to-end data conversion planning for Oracle Fusion, including scope definition, data source identification, mapping specifications, and conversion schedules
  • Extract, transform, and load financial data from legacy systems (Chart of Accounts, customer/vendor masters, open balances, historical transactions, asset registers)
  • Develop and maintain data mapping documents that translate legacy data structures to Oracle Fusion Cloud data models (Procure to Pay, Record to Report, Quote to Cash, Project to Close)
  • Execute iterative mock conversion cycles (Mock 1, Mock 2, Final) with progressively tighter quality gates and validation checkpoints
  • Coordinate with IT Infrastructure team on technical data extraction, FBDI file generation, and API-based data loading
Data Quality, Validation & Analytics
  • Design and implement comprehensive data quality rules, reconciliation controls, and exception handling processes; build automated validation scripts, profiling reports, and dashboards using Python, SQL, and AI/ML frameworks
  • Partner with Accounting SMEs to validate converted balances, ensure trial balance integrity, and resolve discrepancies
  • Develop predictive models for financial forecasting, anomaly detection in journal entries, and intelligent close process monitoring
AI/LLM & Intelligent Agent Development
  • Design and build AI-powered intelligent agents using large language models (GPT, Claude, Gemini, or open-source alternatives) for finance process automation
  • Develop LLM-based data quality agents that automatically detect anomalies, validate business rules, and suggest corrections during data migration and ongoing operations
  • Create conversational AI interfaces for finance users to query data, generate reports, and troubleshoot issues through natural language
  • Build intelligent document processing pipelines using LLMs for invoice extraction, contract analysis, and regulatory filing automation
  • Implement prompt engineering frameworks, retrieval-augmented generation (RAG), fine-tuning strategies, and governance frameworks for responsible AI use including bias detection, explainability, and audit trails
EPM, Reporting & Data Governance
  • Support data migration and integration for Oracle EPM Cloud (PBCS, FCCS, Planning) connecting to Oracle Fusion actuals and subledger data
  • Troubleshoot reporting issues in Oracle Fusion (OTBI, BIP, Smart View, FBDI) and SplashBI, diagnosing data quality problems and performance bottlenecks
  • Partner with FP&A and Accounting on EPM data flows, dimension hierarchies, and planning/forecasting data structures
  • Support Apex application rollout through data integration, ensuring clean data pipelines between Apex, Fusion, and EPM environments
  • Establish data governance frameworks for master data (COA, customers, vendors, projects) including ownership, quality rules, stewardship processes, data lineage documentation, and metadata repositories for regulatory compliance
  • Support finance transformation projects through data analysis, migration support, and capitalization documentation
Cross-Functional Collaboration & Innovation
  • Coordinate with Business Units, IT Infrastructure, and external vendors to secure data extracts, coordinate conversion windows, and troubleshoot technical issues
  • Partner with Senior Manager, Finance Systems to align data conversion schedules with functional configuration timelines and testing cycles
  • Evangelize AI/LLM capabilities across Finance organization through proof-of-concepts, workshops, lunch-and-learns, and documentation; build internal capability by training team members on effective LLM usage
  • Maintain knowledge of emerging AI technologies, attend conferences/training, and share best practices through cross-team collaboration
Production Support, Post-Go-Live & Continuous Improvement
  • Provide ongoing production support for existing finance systems data flows, reporting, and integrations (Oracle Fusion, EPM, Apex, and other applications); execute data migration activities for Oracle Fusion and other finance system implementations; own hypercare support for data-related issues (balance mismatches, missing records, data correction requests)
  • Develop and maintain ongoing data quality monitoring processes leveraging AI agents for real-time anomaly detection; document data lineage, transformation logic, business rules, and AI model documentation for audit compliance
  • Train Finance Systems team on data maintenance procedures, AI agent usage, and troubleshooting techniques

Basic Qualifications (Required Skills & Experience)

Education & Experience
  • Bachelor's degree in Finance, Accounting, Computer Science, Data Science, or related field (Master's in Data Science, AI, or related field preferred)
  • 5+ years of experience in financial data management, ERP data migration, or business intelligence/analytics
  • 2+ years hands-on experience building AI/LLM applications, intelligent agents, or machine learning models (personal projects, hackathons, or professional work)
  • Proven experience leading at least 2 full-cycle ERP data conversions from planning through post-go-live stabilization
Technical & AI Skills
  • Expert-level proficiency with Python (pandas, numpy, scikit-learn) for data transformation, analysis, and machine learning
  • Hands-on experience with LLM APIs (OpenAI GPT, Anthropic Claude, Google Gemini), prompt engineering techniques, and AI agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) including retrieval-augmented generation (RAG) architectures
  • Strong SQL skills for data extraction, transformation, and validation across relational databases
  • Experience with data integration tools (Oracle FBDI, APIs, SSIS, Informatica, Alteryx), cloud data platforms (Oracle Cloud, AWS, Azure), and software development best practices including version control (Git) and CI/CD pipelines for production AI deployments
  • Experience with Oracle EPM Cloud data structures, integration patterns, and reporting (PBCS, FCCS, Planning preferred)
  • Strong troubleshooting skills for Oracle Fusion reporting tools (OTBI, BIP, Smart View) and third-party BI platforms (SplashBI, Power BI, Tableau)
  • Working knowledge of data governance principles, MDM concepts, and data quality frameworks
  • Experience supporting Apex application rollouts through data integration and connectivity
Finance & Analytical Skills
  • Strong understanding of financial accounting principles, chart of accounts structures, and subledger-to-general ledger reconciliation
  • Experience with Oracle Fusion data models (Procure to Pay, Record to Report, Quote to Cash, Project to Close) or comparable ERP data structures
  • Exceptional analytical skills with ability to investigate complex data issues, identify root causes, and implement sustainable solutions
  • Meticulous attention to detail and commitment to accuracy-zero tolerance for data quality compromises
  • Strong documentation skills with ability to create clear, comprehensive technical documentation for both technical and non-technical audiences
Innovation & Collaboration Skills
  • Entrepreneurial mindset with passion for exploring emerging technologies and building innovative solutions
  • Ability to translate business problems into AI/data science solutions and articulate value propositions to non-technical stakeholders
  • Comfortable working in ambiguity, experimenting with new approaches, and iterating based on feedback
  • Collaborative approach with strong communication skills for presenting technical concepts, demonstrating prototypes, and building stakeholder buy-in across Finance, IT, and external AI/data science communities


Physical Demands

  • Ability to work in an office environment (Constant)
  • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)


Clearance Level

No Clearance

The salary range for this role is:

$89,000 - $135,750

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

About AV:

AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.

We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve.

Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next.

If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR

U.S. Citizen, U.S. Permanent Resident (Green Card holder), asylee/refugee status as defined by 8 U.S.C. 1324b(a)(3) or a person approved for an export license from the appropriate governing agency.


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