Technology & Data Strategy Consultant

Technology & Data Strategy Consultant Element14 is hiring a Technology & Data Strategy Consultant to help lead our data and systems work with a large federal civilian agency. You will work directly with the engagement lead, from stakeholder interviews and system reviews through to the current-state picture, gap analysis and the future-state ideas that shape our recommendations. This is a consulting role, not a development role. You don't need to be an engineer, but you do need to be technical enough to understand how systems and data fit together, ask the right questions and spot what's missing. Hands-on technical or architecture experience is a plus. We are looking for someone who can sit down with system owners and security staff, understand how their systems really work and connect, and explain it clearly to the people who make decisions. What you would work on Our client is a large federal civilian agency with a nationwide mission and thousands of employees, contractors and visitors. Like many agencies, it relies on a mix of systems built at different times for different purposes, and it is now taking a hard look at how well those systems support its operations and security. Element14 supports the prime contractor on that assessment, bringing the data and systems lens. When something happens, leaders need a clear, current picture of their people, facilities and operations. Today that information is spread across a dozen or so separate systems, from identity and HR to facilities, security and communications tools. Pulling the picture together takes longer than it should. Mapping those systems is the starting point, not the goal. The goal is a more connected data and technology function at the agency: systems that share data in real time instead of through batch files and manual extracts, that agree on the same people, places and assets, and that feed a common operating picture leaders can act on. You will help define what that future state looks like, how to get there in practical steps, and which projects should come first. Those recommendations will shape how the agency invests in its systems and data in the years ahead. We are AI-first by default. Modern AI tools are part of the toolkit on every engagement: LLMs for working through long technical documentation, organizing findings and drafting deliverables. We are not chasing AI for its own sake, and we always work within our clients’ rules on what information can be used. We expect the people on this team to be fluent in current tools and to use them to be faster and sharper than the federal consulting median. Beyond this engagement, we expect this team to grow with the firm. The assessment is our first project with this agency, and we see it as the start of a longer relationship there. As Element14 wins additional federal and state work, the people we hire now will help shape future engagements and the capabilities we build. What you will do

• Map the systems. Work with the prime team to identify the core systems that hold operational and personnel data (for example identity, HR, facilities, security and notification systems) and what each one holds.
• Read the documentation that matters. ATO packages, system security plans, privacy impact assessments, System of Records Notices, interconnection agreements and data dictionaries. Pull out what each system does, what it connects to and where the risks are.
• Run working sessions with system teams. Learn how data actually moves between systems, where it breaks down, how reliable it is, and what questions each system can't answer.
• Document the current state so anyone can use it. Simple data-flow diagrams, system inventories and profiles that hold up for technical reviewers and make sense to leadership.
• Find the gaps and shape the options. Interoperability gaps, single points of failure, duplicated or conflicting records. Turn them into future-state concepts and candidate projects with sequencing and rough order-of-magnitude cost, working with the engagement lead who owns the final recommendations.
• Write and present as part of the team. Draft the technical sections of team deliverables, support workshops and briefings, and work within the prime contractor’s processes and standards.
• Use modern AI tooling as a standard part of the workflow. LLMs to work through long documentation, organize findings and draft faster, always within the client’s rules on what information can be used. We expect fluency here, not curiosity.

Who we are looking for In addition to the qualities we look for in everyone on the team:

• Genuine interest in public service. You are excited about helping government agencies operate more effectively and advance their mission. The variety appeals to you: one quarter you might be working on financial integrity for housing programs, the next on agricultural data, the next on health programs.
• Commitment to technical craft. You stay current. You can point to tools and techniques you have picked up in the last twelve months and explain why they matter. Cloud, data, and AI are central to what we do, and we expect that to be central to how you think too.
• Strong communication and relationship-building. You build trust with government stakeholders by listening carefully, explaining clearly, and following through. You learn the program, not just the data, deeply enough that clients want you in the room.
• Drive and ownership. This is not a clock-in, clock-out role. We want people who care, and that shows up in their work: anticipating the next question, fixing what is broken before being asked, and treating the mission as their own.
• Technology and data consulting experience. Three to six years in technology consulting, data or analytics projects, systems integration or a similar role, ideally with federal or other regulated clients. You understand how systems and data connect (APIs, data pipelines, file transfers, identity and access) well enough to ask good questions, even if you haven't built them yourself. You can turn a messy conversation into a clear picture of how things work.
• Federal systems familiarity. Comfortable with, or quick to learn, federal security and compliance documents such as ATO packages, system security plans and privacy impact assessments. You know what to look for and what to ask.
• Consultative, not just technical. You can run a productive session with system administrators and cybersecurity staff, then explain what you learned to a non-technical leader in plain language.
• Clear writing. Your diagrams and documents stand on their own. Your findings are specific, sourced and easy to act on.
• Applied, not academic. You like real problems with real stakes. You would rather give a client a practical recommendation they can fund than a perfect target-state architecture nobody can build.
• AI-first. Comfortable using modern LLMs as part of your daily workflow. You have opinions about where they help and where they do not, and you use them to be faster, not flashier.
• Preferred: evidence of work you have done outside a paid job, such as open-source contributions, side projects, academic research, hackathons, or a portfolio of work you can walk us through. We read these as signals of curiosity and craft.
• Also a plus: experience with identity, security or operations systems (for example federal identity management and PIV credentials, access control, or mass notification); master data management or entity resolution; federal civilian agencies; emergency management or security operations; systems or solution architecture; rough order-of-magnitude cost estimating; hands-on development or data engineering experience (for example Python, SQL, API development or cloud infrastructure); working inside a prime–subcontractor team; certifications such as TOGAF, AWS or Azure Solutions Architect, or CompTIA Security+.
• Required: ability to obtain a U.S. Federal Public Trust clearance. This requires U.S. citizenship or lawful permanent residency and a successful background investigation.

Salary range: $115,000 – $160,000 annual base. Final offer determined based on experience, depth, and the specific seat. We post ranges because we believe in transparency about pay. Location: Remote. Element14 is a remote company, and candidates anywhere in the United States will be considered; Washington, DC metro area preferred. Occasional travel to the DC area to meet with the engagement lead (for candidates outside DC) and to the client site as the project requires. U.S. work authorization required. Perks & benefits

• Competitive salary
• Medical, dental, and vision insurance
• Life insurance and short-term / long-term disability
• 401(k) with employer match
• Paid time off and federal holidays
• Hybrid and flexible work arrangements
• Professional development and certification support
• Employee Assistance Program

Pay: $115,000.00 - $160,000.00 per year Benefits:

• 401(k)
• Dental insurance
• Employee assistance program
• Health insurance
• Paid time off
• Parental leave
• Vision insurance

Work Location: Remote Apply To This Job