Data Science & Analytics Technical Lead

Who we are!

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high‑quality work products – we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self‑motivated domain experts. Our teammates are dot‑connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.

Platinum Technologies is seeking an Data Science & Analytics Technical Lead to join our company. The Data Science & Analytics Technical Lead provides leadership, technical direction, and oversight for data science, analytics, and decision‑support activities. The position leads analytical initiatives, manages distributed teams, and ensures delivery of high‑quality analytical products that support mission, operational, and strategic objectives.

This role is onsite at Mac Dill AFB, Tampa, FL (Onsite)

Active TS/SCI security clearance

• Lead the planning, execution, and delivery of data science and analytics initiatives.
• Provide technical oversight and mentorship to analysts and data scientists.
• Develop and implement analytical methodologies and reporting solutions.
• Translate customer requirements into actionable analytical products.
• Coordinate analytical activities across multiple organizations and stakeholders.
• Establish standards and best practices for data analysis and reporting.
• Evaluate and integrate emerging digital capabilities and technologies.
• Present findings and recommendations to senior leadership.
• Ensure data integrity, quality, and compliance with applicable standards.
• Support strategic planning through data‑driven insights.
• Lead development of data governance and quality assurance processes.
• Manage analytical roadmaps, priorities, and resource allocation.
• Conduct technical reviews of analytical products and methodologies.
• Develop performance metrics, KPIs, and measurement frameworks.
• Support continuous process improvement and innovation initiatives.

• Active TS/SCI security clearance.
• Bachelor of Science (BS) in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Engineering, or a related quantitative discipline.
• Current DoD 8570‑compliant certification.
• Demonstrated experience leading technical teams and analytical initiatives.
• Strong written and verbal communication skills.
• Experience managing multiple projects and priorities simultaneously.
• Knowledge of data management principles and analytics methodologies.
• Experience developing executive‑level briefings and reports.
• Ability to communicate technical concepts to non‑technical audiences.
• Strong problem‑solving and organizational skills.

• Five (5) years of experience working in SOF analytical support.
• Three (3) years of experience centrally managing distributed data support teams in SOF organizations at the headquarters echelon.
• Three (3) years of experience with SOF digital capabilities.
• Three (3) years of experience with SOF Headquarters elements, SOF Service Component Headquarters, and Theater Special Operations Commands.
• Experience with enterprise analytics platforms and business intelligence tools.
• Experience supporting geographically dispersed organizations.
• Experience implementing data governance frameworks.
• Experience mentoring and developing technical personnel.

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.