Senior Consultant – Data & Technology Analysis & Solutions

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.  

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 multidisciplinary bridging role, this practitioner translates messy, unstructured operational data and technical architectures into clear, repeatable, and decision-ready insights for federal leadership.

• →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.

1. Automated Qualitative-to-Quantitative Research Acceleration (NLP & Sentiment Analysis)
   
   
• Description: Ingesting large volumes of qualitative stakeholder and customer interviews (e.g., 100–250+ hours of veteran or employee feedback) and deploying automated NLP, sentiment analysis, and transcript encoding tools. Drastically reduces research cycle times from months to days while producing empirical evidence and thematic visualizations to guide executive policy.
2. Large-Scale Program Portfolio Analytics & Automated ETL Pipelines
   
   
• Description: Designing and managing multi-source ETL pipelines and centralized Business Intelligence suites (e.g., Tableau/Power BI) for multi-billion-dollar federal infrastructure, defense, or modernization programs. Consolidates hundreds of thousands of disparate schedule, cost, and milestone data points across dozens of active projects into real-time, executive-level Integrated Master Schedule (IMS) dashboards.
3. Enterprise Data Strategy & Infrastructure Discovery Assessments
   
   
• Description: Conducting structured CRISP-DM stakeholder discovery and technical evaluations of existing client data ecosystems (assessing dozens of disparate data sources and fields). Identifies systemic gaps, defines standardized KPIs, and produces comparative data infrastructure architecture options to guide future enterprise database development.
4. Workforce Sentiment & Organizational Challenge Predictive Modeling
   
   
• Description: Developing predictive models (e.g., decision trees, driver analyses, segmentation) using employee survey and operational metrics to identify workplace challenges, turnover drivers, and employee experience barriers, delivering targeted recommendations to agency senior leadership.
5. Customer Experience (CX) / Service Delivery Performance Measurement Engines
   
   
• Description: Bridging customer journey mapping with operational performance by establishing end-to-end measurement frameworks. Connects front-stage survey data (e.g., Medallia, Qualtrics, Alchemer) with back-stage operational databases to generate holistic CX/EX KPI dashboards and impact scorecards.
6. Internal Consulting Analytics Toolkits & Reusable AI Workflow Assets
   
   
• Description: Spearheading internal CMMI-aligned capability building by creating standardized, reusable data transformation scripts, dashboard templates, and ethical AI/LLM prompt workflows that can be rapidly deployed across multiple Technical Assent client engagements.

• Our team combines the creative and the pragmatic to deliver the results that matter most to our clients.  We see beauty when art and science come together.
• We seek self-starters, people who are confident in tackling challenges independently and bringing this to high-performing teams.  We continually seek feedback from our customers and employees, looking for opportunities to grow.
• We are a small company which gives you an essential voice in shaping our culture.  You will help grow our culture, and you will grow from experience, too.

• U.S. Citizenship Requirement: Candidates must be U.S. citizens and eligible to obtain and maintain the required security 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.

• Prolonged periods of sitting at a desk and working on a computer.
• Close vision is required.

• Active Secret or Top-Secret clearance.
• 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.