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Salary
$150k – $170k per year
Location
In office (Linthicum Heights)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 27, 2026. MKS2 Technologies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Austin, Texas, MKS2 Technologies is a Service-Disabled Veteran-Owned Small Business providing advanced information technology, cybersecurity, and management consulting services. Founded in 2008, the company delivers specialized solutions - including agile software development, enterprise cloud migration, and instructional training design - primarily to United States defense and federal civilian agencies as well as commercial enterprises. Through mission-focused technical execution and disciplined leadership, the enterprise helps organizations modernize their digital infrastructure and safeguard critical information assets.

MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our “Mission First” orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.

Data Program Lead / Senior Training Analytics & Power BI Lead

Location: Linthicum, MD

Clearance: Active Secret required

Employment: Full-time

Program Status: Contingent upon contract award

Company: MKS2 Technologies

Target Salary: $150K-$170K

Position Summary

MKS2 Technologies is seeking a Data Program Lead / Senior Training Analytics & Power BI Lead for an anticipated DoD training and business-management program.

The Data Program Lead will provide senior leadership for an enterprise training-data environment encompassing data requirements, metadata, integration, analytics, reporting, data standards, business intelligence and executive visualization.

The draft PWS specifically requires a dedicated Data Program Lead to serve as the single point of contact and manage all activities under the data-analysis task, making this one of the most strategically important positions on the anticipated program. [DRAFT_PWS_...t2026.docx | Word]

Key Responsibilities

  • Lead the overall training-data management, analytics and visualization workstream.
  • Serve as the primary data/analytics point of contact to Government leadership.
  • Establish and manage processes for capturing, prioritizing and tracking enterprise data requirements.
  • Develop and maintain business glossaries, metadata repositories and data standards.
  • Support Learning Management System migration and ensure data continuity across platforms.
  • Design and oversee data-integration pipelines between source systems and enterprise data platforms.
  • Analyze high-volume training data, including:
    • Student records
    • Course completion
    • Student demographics
    • Academic/training performance
    • Student tracking
    • Operational and program-performance data.
  • Perform data-quality and validation activities.
  • Conduct historical, statistical and ad hoc analyses to identify trends, risks and opportunities.
  • Develop KPIs, performance measures and Mission Management and Reporting metrics.
  • Develop, deploy and maintain a portfolio of at least five enterprise-level interactive Power BI dashboards.
  • Develop executive-level reports and visualizations translating complex data into actionable information.
  • Lead production of monthly metrics, deep-dive analytic studies and rapid-turn ad hoc reporting.
  • Support responses to Government data calls within demanding timelines.
  • Develop and deliver quarterly analytics training to Government personnel.
  • Develop data-governance approaches, definitions, standards and documentation.
  • Communicate analytics findings and recommendations to senior Government decisionmakers.

Required Qualifications

  • Active Secret clearance.
  • Bachelor's degree in Data Analytics, Data Science, Statistics, Information Systems, Computer Science, Business Analytics or related field.
  • 8+ years of professional data/analytics experience.
  • At least 3 years leading enterprise analytics, BI or data-management efforts.
  • Expert-level or advanced experience with Microsoft Power BI.
  • Demonstrated experience developing enterprise dashboards and executive analytics.
  • Experience with:
    • Data modeling
    • Data validation and quality
    • Data integration
    • Metadata
    • KPIs/performance metrics
    • Data standards/governance
    • Statistical or trend analysis.
  • Strong SQL and data-querying skills.
  • Experience integrating multiple enterprise data sources.
  • Ability to translate technical analysis into concise executive recommendations.
  • Strong presentation and client-facing communication skills.

Preferred Qualifications

  • Direct DCSA or DoD experience.
  • Experience working with training, education or Learning Management System data.
  • Experience supporting LMS migration.
  • Microsoft Power BI Data Analyst certification or equivalent demonstrable expertise.
  • Experience with Power Query, DAX and enterprise Power BI governance.
  • Experience with Microsoft Fabric, Azure data services, SQL Server or similar enterprise data platforms.
  • Experience with SPSS or comparable statistical tools.
  • Familiarity with Section 508 requirements for analytics products.
  • Experience developing and delivering analytics training to nontechnical users.
  • Experience building government executive or mission-performance dashboards.

Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

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