Senior Consultant – Data & Technology Analysis & Solutions

Technical Assent•Washington, DC

13d•$120,000 - $140,000•Onsite

About The Position

At Technical Assent, a Senior Consultant (Data & Technology) serves as the critical bridge connecting complex data systems, emerging technologies, and strategic human-centered consulting. Functioning in a multidisciplinary bridging role, this practitioner translates messy, unstructured operational data and technical architectures into clear, repeatable, and decision-ready insights for federal leadership. Technical Assent is passionate about services – in government, business, and not-for-profit. We design exceptional service experiences, engineer them to be robust, and deliver real capability and business outcomes for our clients. You will be working on government programs that have strategic importance to our clients. Your team will work IN and ON the client’s core mission – helping them to deliver their services day-to-day while simultaneously looking for opportunities to improve. Our work is Driven by Evidence, Grounded in Understanding, and Focused on Impact.

Requirements

Must currently hold or be eligible to obtain a Secret or Top-Secret clearance.
Bachelor's Degree plus five (5) years of relevant experience, preferably in management consulting, workforce analysis, organizational effectiveness, or operational analysis.
Strong management consulting and problem-solving skills.
Strong quantitative and qualitative analytical, communication, facilitation, and presentation skills.
Must be a U.S. Citizen or Permanent Resident authorized to work in the United States.

Nice To Haves

Demonstrated experience with statistical modeling, predictive analytics, machine learning, and/or the CRISP-DM methodology.
Experience applying NLP, sentiment analysis, generative AI, or LLM workflows to unstructured or qualitative datasets.
Proficiency with SQL and experience using Python, R, or similar programming languages for data manipulation, automation, and analysis.
Experience designing ETL pipelines, data models, relational databases, data dictionaries, APIs, and/or data governance frameworks.
Advanced experience developing business intelligence dashboards and visualizations using
Experience integrating qualitative research, human-centered design, stakeholder insights, and quantitative analysis to develop measurable KPIs and performance frameworks.
Experience evaluating enterprise data environments and developing recommendations for data architecture, infrastructure, governance, and modernization.
Demonstrated experience leading cross-functional teams, managing workstreams, mentoring junior staff, and ensuring high-quality client deliverables.
Experience developing reusable analytical tools, methodologies, templates, or other delivery assets within a structured quality or process-improvement framework.
Experience supporting federal clients, public-sector programs, or large-scale transformation initiatives preferred.
Experience supporting business development activities, including RFIs, proposals, technical writing, solution development, or client growth initiatives preferred.

Responsibilities

Lead data and technology analysis initiatives, including discovery, requirements gathering, data assessment, solution design, and implementation planning.
Apply data science, statistical modeling, predictive analytics, and machine learning methodologies to solve complex client business and operational challenges.
Design and implement data pipelines, ETL processes, data models, and data quality controls across multi-source data environments.
Develop and maintain executive-level dashboards, reporting solutions, and data visualizations using tools such as Tableau or Microsoft Power BI.
Leverage Python, R, SQL, and related technologies to manipulate, analyze, automate, and transform complex datasets.
Apply NLP, sentiment analysis, AI, and LLM-enabled workflows to transform unstructured text and qualitative research into structured, actionable insights.
Conduct data architecture and infrastructure assessments, evaluating data sources, schemas, integrations, governance practices, and technology environments.
Translate qualitative research, stakeholder feedback, and human-centered design findings into measurable KPIs, performance metrics, and analytical frameworks.
Lead stakeholder interviews, discovery workshops, and co-design sessions to identify root business problems and inform data-driven solutions.
Develop data-backed recommendations, executive briefings, strategic roadmaps, and other deliverables that support client decision-making and operational improvement.
Lead cross-functional workstreams, manage project timelines and deliverable quality, and mentor junior consultants and analysts.
Develop reusable analytics assets, templates, code modules, dashboards, SOPs, and toolkits that strengthen Technical Assent’s delivery capabilities.
Contribute to knowledge sharing, thought leadership, business development, and proposal activities, including RFIs, technical solutions, and client expansion opportunities.