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Chief Data & Analytics Officer
| Company | Leidos |
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| Location | Reston, VA, USA |
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| Salary | $216800 – $348750 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Master’s degree and 20+ years or bachelor’s degree and at least 22 years of experience with excellent technical credentials in fields relevant to the Leidos business (e.g., digital modernization, cybersecurity, mission software systems, integrated systems, mission operations, and artificial intelligence/machine learning).
- 15+ years developing deep, emerging technologies and deploying those technologies for meaningful business impact at an enterprise scale.
- Overall experience should include at least 10 years’ demonstrated success in each of the following: Developing and promoting innovative technical solutions in response to, and in advance of, customer requirements; Developing and operationalizing a technology strategy that produces differentiation, including developing and driving technology investment portfolios and building strategic technology relationships; Developing executive-level data analytics and dashboards through platforms such as Splunk, ServiceNow, Azure, and AWS.
- Data product definition, development, and deployment.
- Expertise in attracting, retaining, and developing highly skilled technical talent, inspiring a highly technical team, and growing an innovative technology organization.
- Demonstrated success in coordinating across technical and business teams to persuade, coordinate, and develop executive-level content in a collegial and efficient manner; and
- Experience with briefings to senior leaders (e.g., ELT, Board of Directors, high-level customers) and public facing communications on technology topics (e.g., interviews, panel discussions, and fireside chats).
- US citizenship and ability to obtain clearance, based on program need, is required.
Responsibilities
- Lead and oversee the implementation of data related capabilities in line with the OCIO’s five-year technology roadmap.
- Identify and pursue innovative and comprehensive data strategies that complement Leidos’ AI strategies and meets Sector/business area needs.
- Continuously lean forward into testing and deploying emerging tech that can augment current capabilities and demonstrate a strong Customer Zero position.
- Codify, implement, champion and continuously evolve the Leidos enterprise data strategy.
- Cultivate enduring and effective relationships with Office of Technology (OOT), Sector/Business Areas, and OCIO peers to develop, analyze, and optimize Leidos’ data and analytics services and products.
- Foster collaboration and strategic alignment across Sector/Business Areas to create integrated solutions and support business needs.
- Drive data-informed decision making and operational efficiencies across the enterprise.
- Simplify the existing data architecture by delivering reusable services and optimizing resource utilization.
- Leverage multiple components centralized under the new Chief Data and Analytics Office to build and mentor a high-performing team. These include, governance, data architects, data engineers, business data owners, AI-enabled/GenAI/workflow/RPA trained developers, data products with data lineage, catalog, master data management, and use cases.
Preferred Qualifications
No preferred qualifications provided.
