Efficiency Lead Security Clearance

Position: Efficiency Lead with Security Clearance
R
- Description Leidos has a new and exciting opportunity for an Efficiency Lead in our Intel Sector Analysis Solutions Business Area (ASBA) in McLean, VA. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.

Join us and make a difference in Analysis Solutions Business Area! The Efficiency Lead is responsible for designing, implementing, and overseeing the contract’s quality assurance (QA), quality control (QC), continuous improvement, and risk management processes. This role ensures all deliverables, analytic products, and operational processes consistently meet or exceed ODNI, NCTC, and IC standards for accuracy, timeliness, compliance, and efficiency.

The Lead will drive a culture of excellence by leveraging automation, artificial intelligence (AI), and advanced technology solutions to optimize workflows, enhance data-driven decision-making, and streamline operations across all contract functions. The Lead is expected to proactively identify and implement technology-enabled process improvements, risk management strategies, and quality control measures to support the NCTC mission and foster continuous organizational advancement.

Key Responsibilities Quality Assurance

* Collaboration:

Work closely with the Program Manager, Task Leads, and Government counterparts to ensure alignment of CPI and Risk initiatives with evolving mission priorities, utilizing technology-enabled collaboration and workflow tools where appropriate
* Quality Management System (QMS):
* Develop a center-wide QMS that includes Continuous Process Improvement (CPI), Risk Management, and Quality Control (each detailed below), incorporating automation and digital tracking where feasible.
* Develop, implement, and maintain a comprehensive Quality Management Plan (QMP) in accordance with contract requirements, ODNI/NCTC policies, and IC analytic tradecraft standards, leveraging data analytics and AI-driven insights to inform quality strategies.
* Compliance Oversight:
Ensure all contract activities adhere to applicable laws, policies, and standards (including data integrity, privacy, and security requirements). Prepare for and support internal and external audits, utilizing automated compliance monitoring tools where possible
* Performance Metrics:
Define, track, and report on key performance indicators (KPIs), Service Level Agreements (SLAs), and quality metrics, using automated dashboards and data visualization tools to enable real-time monitoring and reporting . Analyze trends and recommend corrective actions as needed, supported by AI-driven analytics.
* Reporting:
Prepare and present regular quality and efficiency reports to contract leadership and Government stakeholders leveraging automated reporting solutions to streamline the process. Support the preparation of status reports (MSR, TSM) and QMP updates. Continuous Process Improvement (CPI)
* Strategic Positioning:
* Facilitate strategic positioning assessments (using tools such as SWOT, SOAR, NOISE) with program leadership to assess the alignment of resources to program needs, gaps in performance, and identify emerging risks and opportunities, utilizing digital assessment and visualization tools.
* Ensure new risks identified are processed via the Risk Management process, as appropriate, with the support of automated risk tracking systems.
* Collect CPI Inputs:
Solicit internal and external feedback, evaluate award fee reports and customer comments, monitor risks, conduct root cause analyses of issues, and collect lessons learned and opportunities for improvement from all levels of staff across all task areas to support robust CPI. Employ AI-enabled survey and feedback tools and document review to enhance data collection and analysis speed and accuracy.
* Identify CPIs:
Identify Potential CPI tasks. Quantify the resources required and potential impact of each using data analytics and process modeling tools.
* Support CPI Prioritization:
Regularly brief program leadership on the Potential CPI List for disposition (accept/reject) resource allocation, and prioritization leveraging digital workflow and prioritization tools.
* Process Improvement:
* Following program leadership prioritization and resource allocation, design and lead initiatives to improve operational efficiency, reduce error rates, and streamline workflows across analytic, operational, and support functions, with a focus on automation and AI-driven process optimization.
* Collect baseline and post-implementation performance measures to provide quantitative evidence of improvements achieved,…