Senior Consultant, Data Management

FI Consulting is seeking a full‑time Senior Data Management Consultant with 5+ years of professional experience, to help lead and advise our client on an ERP implementation.

For more than 20 years, financial institutions in the Federal, private, and public sectors have called on FI Consulting to address complex and high‑stakes analytical challenges closely scrutinized by executives, auditors, regulators, and stakeholders.

We help clients succeed by applying our core strengths in business applications of Data Engineering, Analytics, Modeling, and Business Architecture to gain insight into finances, loans, and performance; manage risk; and improve operations.

We are looking for Senior Consultants who demonstrate a strong blend of technical skills, essential soft skills, and a commitment to continuous learning in the rapidly evolving field of AI.

• Use of productivity tools is required
  • Purpose:
    
    answering questions, generating text, help with creating documents, emails, etc.
  • Examples:
    ChatGPT, MS Copilot, Gemini, etc.
• Use of creative tools is desired
  • Purpose:
    
    software code, video, graphics generation, etc.
  • Examples:
    Amazon Q, Git Hub Copilot
• Incorporating AI into solutions is desired
  • Purpose:
    
    making AI algorithms part of technology solutions
  • Examples: neural networks, predictive algorithms, large language models, etc.

• Intellectual Curiosity: A strong desire to learn and explore new AI concepts.
• Problem‑solving & Critical Thinking:
  Ability to apply AI knowledge to new challenges.
• Learning Agility:
  Ability to quickly adapt and learn new AI tools and techniques.

• Update and/or maintain the Data Management Strategy that considers all necessary activities to migrate data from current financial, procurement, and asset management systems to target systems.
• Participate in and/or facilitate Data Conversion/Data Clean‑up working groups with stakeholders.
• Provide recommendations on data cleansing approaches and business rules across multiple lines of business.
• Track stakeholder validation of data clean‑up and data cleansing.
• Develop and/or maintain data clean‑up/data cleansing dashboards.
• Assist in the execution of all data conversion and data clean‑up activities (e.g., data cleansing, mock conversion, data research, etc.) this may include:
  • Analyzing all source system data for anomalies that affect data integrity.
  • Executing cleansing of data as determined by results of analysis. This may include the development and execution of database scripts.
  • Integrating this progress with the Integrated Master Schedule.
  • Identifying and implementing interim solutions to assist OCFO in improving and streamlining business processes to improve the quality of financial data before migration.
  • Leveraging data warehouses and repositories to analyze CISA data and identify anomalies to be corrected.

• 3-10 years of experience in Data Analysis, preferably within an Accounting or Finance team.
• Strong understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.
• Proven analytics skills, including mining, evaluation, and visualization.
• Technical writing experience in relevant areas including reports and presentations.
• Aptitude and interest in learning other analytics tools and programming languages.
• Experience developing and maintaining dashboards and visualizations.
• Experience with migrating data to an integrated system which includes data cross‑walking and data reconciliation.
• Ability to handle large datasets, ensure data accuracy, and implement data governance practices.
• Deep understanding of table relationships, and ability to compile, manipulate, and aggregate data.
• Strong ability to identify trends and identify actionable insight and make informed decisions from data.

• SQL, Python, Excel VBA or other data query languages.
• Python, R, JavaScript, or other automation programming languages.
• Excel, Power BI, Tableau, or other data analysis and visualization tools.
• Azure, AWS, GCP, or other cloud providers.

• Proficiency with federal financial management and accounting concepts.
• Self‑starter who can…