- Location
- DC
- Type
- Full-time
- Seniority
- Lead
- Experience
- 5+ years
- Clearance
- Required
- Closing date
- Today
- Source
- ApplyToJob
Description
MacMore is seeking a full-time ACES Data, AI & Automation Task Lead to support a pending contract award for the General Services Administration’s Assisted Acquisition Services (AAS).
Location
Washington, DC | Full-time
Key Responsibilities
Lead Data, Artificial Intelligence (AI), Automation, and other emerging technology services and related support across ACES. Own the shared technical backlog and data and automation roadmap, prioritizing reusable capabilities with Government stakeholders and task leads.
Coordinate architecture, development, data, and operations teams. Work with Task 8 sector leads and embedded analysts to distinguish portfolio-specific tools from needs requiring shared engineering.
Oversee technical quality, reuse, and measurable operational improvements.
Responsibilities
Location
Washington, DC | Full-time
Key Responsibilities
Lead Data, Artificial Intelligence (AI), Automation, and other emerging technology services and related support across ACES. Own the shared technical backlog and data and automation roadmap, prioritizing reusable capabilities with Government stakeholders and task leads.
Coordinate architecture, development, data, and operations teams. Work with Task 8 sector leads and embedded analysts to distinguish portfolio-specific tools from needs requiring shared engineering.
Oversee technical quality, reuse, and measurable operational improvements.
Responsibilities
- Lead data integration, automation, technical roadmaps, and multidisciplinary technical delivery.
- Prioritize shared capabilities with business stakeholders.
- Oversee secure, maintainable solutions aligned with applicable GSA IT policy.
- Proposed education target: relevant bachelor’s degree or permitted equivalent.
- RFQ desired: at least three years formulating data strategy and translating outputs into actionable business decisions; at least four years promoting and implementing automation to improve business value and processes. The subordinate Data Lead in the Data Engineer posting is not this Key Personnel position.
- Proposed target: 8+ years of relevant technical delivery, including 3+ leading teams or workstreams. RFQ required: at least 5 years providing data integration services on comparable project.
- TS clearance with TS/SCI eligibility
- Direct architecture development
- Data and operations delivery