Data Strategy Consultant

Capitol Careers is currently in search of a Data Strategy Consultant for a Federal Consulting Firm supporting a large Federal Agency.

This is a Remote / long-term Contract position. Candidates local to the DC, MD, VA area are highly preferred.

Candidates with an active Public Trust Clearance are highly preferred.

Financial services industry experience is mandatory. Candidates must have direct experience supporting banking, financial institutions, payments, financial regulation, or financial services consulting engagements.

Position Overview:

We are seeking an experienced Data Strategy Specialist with a required background in financial services to support a large federal consulting firm on a technology modernization and business transformation initiative within the Federal Financial Services space.

The ideal candidate will bring hands-on experience in data strategy, data analysis, enterprise data architecture, and business process improvement, along with a strong understanding of banking, financial services, financial regulation, or payments environments.

This individual will assess existing data environments, business processes, and enterprise platforms to identify inefficiencies, data gaps, and opportunities for improvement. The role requires strong technical analytical capabilities and the ability to translate complex business requirements into practical, implementable data and technology solutions.

Candidates must have direct professional experience working within the financial services industry, including banking, financial institutions, payments, financial regulatory organizations, or financial services consulting.

Key Responsibilities:

Data Strategy & Enterprise Data Management

• Assess existing enterprise data environments, systems, business processes, and information flows to identify opportunities for modernization.
• Develop data strategies aligned with financial services operations, regulatory requirements, and organizational objectives.
• Conduct current-state assessments, gap analyses, and future-state planning.
• Map and document enterprise data flows, system interfaces, integrations, dependencies, and data quality issues.
• Define business, functional, and technical data requirements supporting enterprise modernization initiatives.
• Collaborate with data engineering and architecture teams to translate business needs into practical technology solutions.
• Support data remediation, troubleshooting, and resolution of data-related challenges across enterprise platforms.

Business Process Improvement & Transformation

• Evaluate existing business processes and recommend improvements to operational efficiency, reporting, and data accessibility.
• Support process redesign initiatives related to budgeting, forecasting, workforce planning, and resource allocation.
• Identify opportunities to streamline workflows, improve data quality, and strengthen enterprise reporting.
• Develop current-state and future-state process maps, requirements documentation, and implementation recommendations.
• Work with technical teams to support solution development, testing, implementation, and validation.
• Ensure recommended improvements align with business objectives and financial regulatory requirements.

Financial Services & Regulatory Operations

• Apply financial services industry knowledge to support data strategy and technology modernization initiatives.
• Assess data and information flows supporting financial regulatory examinations, compliance monitoring, and operational oversight.
• Support improvements to examination tracking, issue identification, corrective actions, documentation, and regulatory reporting.
• Assist with remediation efforts resulting from regulatory examinations, audits, and technology assessments.
• Incorporate data governance, cybersecurity, privacy, technology risk, and regulatory controls into data strategies.
• Develop data-driven performance measures and reporting frameworks to monitor operational improvements.

Stakeholder Engagement & Documentation

• Collaborate with business, technology, risk, compliance, and operations stakeholders.
• Gather and document business, functional, and data requirements.
• Translate complex technical findings into clear recommendations for executive and business stakeholders.
• Develop data flow diagrams, gap analyses, process maps, and implementation documentation.
• Support stakeholder workshops, technical discussions, and knowledge-transfer activities.
• Track implementation progress, remediation activities, and performance improvements.

Required Qualifications:

• 2-5 years of professional experience in data strategy, data analysis, business transformation, enterprise technology, or related disciplines.
• Financial services industry experience is mandatory. Candidates must have direct experience supporting banking, financial institutions, payments, financial regulation, or financial services consulting engagements.
• Strong experience with data strategy, enterprise data analysis, data requirements, and data management.
• Experience conducting current-state assessments, gap analyses, and future-state data strategy development.
• Hands-on experience analyzing data flows, system integrations, interfaces, dependencies, and data quality challenges.
• Experience translating business and functional requirements into actionable technology solutions.
• Strong background in business process improvement, workflow redesign, or enterprise transformation.
• Experience supporting planning, forecasting, budgeting, performance measurement, or operational decision-making.
• Understanding of financial services regulatory requirements, data governance, technology risk, cybersecurity, and privacy controls.
• Experience working across business and technical teams to support technology implementation and data remediation.
• Strong analytical, documentation, stakeholder communication, and problem-solving skills.
• Must be able to obtain and maintain a Federal Public Trust Clearance prior to onboarding.

Preferred Qualifications:

• Bachelor's Degree in Information Systems, Data Analytics, Business Administration, Computer Science, Finance, or a related discipline.
• Experience supporting federal financial regulatory agencies.
• Experience with enterprise data and workflow platforms such as Snowflake, ServiceNow, and SharePoint.
• Experience with financial regulatory examinations, audit management, compliance reporting, or corrective action initiatives.
• Experience supporting workforce planning, capacity planning, budgeting, forecasting, or financial planning models.
• Knowledge of enterprise data architecture, data engineering concepts, and data integration.
• Experience with data remediation, data mapping, and enterprise information management.
• Experience implementing technology and process improvements from assessment through deployment.
• Strong executive communication and cross-functional stakeholder management capabilities.

Ideal Candidate Profile:

The ideal candidate is a Data Strategy Specialist with direct financial services industry experience who combines strong technical data expertise with business process improvement and enterprise modernization capabilities.

This individual should understand how financial institutions and regulatory organizations operate and be comfortable evaluating existing data environments, identifying gaps, and recommending practical improvements.

Financial services experience is a firm requirement, not a preference. Candidates without relevant banking, financial services, payments, or financial regulatory experience will not be considered.