Overview
On Site
$DOE
Accepts corp to corp applications
Contract - W2
Contract - to 10/31/2026
Skills
Data Science
Artificial Intelligence
Pivotal
Systems Analysis/design
Workflow
Optimization
KPI
Continuous Improvement
Root Cause Analysis
Corrective And Preventive Action
Lifecycle Management
Go-To-Market Strategy
Risk Assessment
Product Requirements
Enterprise Architecture
Data Flow
Lean Methodology
Product Development
Research
Concept Development
Business Intelligence
Information Technology
Systems Engineering
Industrial Engineering
Computer Science
Information Systems
Process Improvement
Project Management
JIRA
Rally
GitHub
Microsoft Azure
DevOps
FOCUS
Data Analysis
Collaboration
Analytical Skill
Communication
Stakeholder Engagement
Mapping
Process Management
Lean Six Sigma
TOGAF
Agile
Management
Scrum
PMP
SAFE
Software Development
Programming Languages
Python
SQL
Databricks
Amazon Web Services
Esri
Geographic Information System
Research and Development
Aerospace
Medical Devices
Manufacturing
Job Details
Job Title: "Technical Project Manager Process Improvement & AI Enablement"
Job Location: Urbandale, Iowa
Duration: 16 months
Job Location: Urbandale, Iowa
Duration: 16 months
Position Summary:
We are seeking a highly analytical and forward-thinking Capabilities Lead for Data Science to support initiatives that enhance our emerging AI-focused product development lifecycle.
This individual will focus upon process improvement, systems engineering, and enterprise architecture.
It will be pivotal for accelerating the definition, measurement, analysis, design, and verification of innovative products by aligning technical systems with business goals and optimizing cross-functional workflows.
We are seeking a highly analytical and forward-thinking Capabilities Lead for Data Science to support initiatives that enhance our emerging AI-focused product development lifecycle.
This individual will focus upon process improvement, systems engineering, and enterprise architecture.
It will be pivotal for accelerating the definition, measurement, analysis, design, and verification of innovative products by aligning technical systems with business goals and optimizing cross-functional workflows.
Key Responsibilities:
Process Improvement & Optimization
- Identify, analyze, and improve existing engineering and R&D processes to enhance efficiency, quality, and speed.
- Develop and implement metrics and KPIs to measure process performance and drive continuous improvement.
- Facilitate root cause analysis and corrective action planning.
Process Improvement & Optimization
- Identify, analyze, and improve existing engineering and R&D processes to enhance efficiency, quality, and speed.
- Develop and implement metrics and KPIs to measure process performance and drive continuous improvement.
- Facilitate root cause analysis and corrective action planning.
Process Improvement
- Lead the lifecycle management process for projects across various stages including capturing information required to document the business and technical details needed to ensure alignment across teams.
- Support coordination for research related to go to market planning, risk assessments, and design verification activities.
- Ensure traceability of product requirements through monitoring and system validation.
- Lead the lifecycle management process for projects across various stages including capturing information required to document the business and technical details needed to ensure alignment across teams.
- Support coordination for research related to go to market planning, risk assessments, and design verification activities.
- Ensure traceability of product requirements through monitoring and system validation.
Enterprise Architecture
- Design and maintain enterprise-level architecture frameworks that support scalable and sustainable product development.
- Align IT systems, tools, and data flows with engineering and business strategies.
- Collaborate with cross-functional teams to ensure architectural consistency and integration.
-Help maintain delivery plans and online or offline project progress tracking documents.
- Design and maintain enterprise-level architecture frameworks that support scalable and sustainable product development.
- Align IT systems, tools, and data flows with engineering and business strategies.
- Collaborate with cross-functional teams to ensure architectural consistency and integration.
-Help maintain delivery plans and online or offline project progress tracking documents.
Accelerating R&D
- Support agile and lean product development methodologies.
- Communicate project milestones and outcomes to key business stakeholders.
- Manages project timelines and ensures delivery across cross-functional teams.
- Coordinates with various departments to align project objectives and deliverables
- Tracks project progress and implements corrective actions as necessary to meet deadlines.
- Integrate systems thinking into early-stage research and concept development.
- Support agile and lean product development methodologies.
- Communicate project milestones and outcomes to key business stakeholders.
- Manages project timelines and ensures delivery across cross-functional teams.
- Coordinates with various departments to align project objectives and deliverables
- Tracks project progress and implements corrective actions as necessary to meet deadlines.
- Integrate systems thinking into early-stage research and concept development.
Qualifications:
- Bachelor or Master's degree in Business Intelligence, Information Technology, Systems Engineering, Industrial Engineering, Computer Science, Information Systems, or a related field.
- 3+ years of experience in project management or process improvement
-Experience with agile process management eg. Scrum Master, PMP, SAFe,
- Familiarity with project management using tools such as Jira, Rally, Github, Azure DevOps.
- Familiar with software development lifecycle and best practices in industries that focus on data, analytics, digital engineering.
- Experience working in an Agile (or similar) structured work environment and with coordinating work across multiple teams.
- Excellent analytical, oral and written communication, and stakeholder engagement skills.
- Bachelor or Master's degree in Business Intelligence, Information Technology, Systems Engineering, Industrial Engineering, Computer Science, Information Systems, or a related field.
- 3+ years of experience in project management or process improvement
-Experience with agile process management eg. Scrum Master, PMP, SAFe,
- Familiarity with project management using tools such as Jira, Rally, Github, Azure DevOps.
- Familiar with software development lifecycle and best practices in industries that focus on data, analytics, digital engineering.
- Experience working in an Agile (or similar) structured work environment and with coordinating work across multiple teams.
- Excellent analytical, oral and written communication, and stakeholder engagement skills.
Preferred Qualifications:
- Experience with systems thinking and mapping delivery process across functional teams.
- Certification with process management techniques (e.g., CSEP, Lean Six Sigma, TOGAF).
-Certified with agile process management eg. Scrum Master, PMP, SAFe,
- Familiarity with the software development lifecycle and with data technologies (eg. programming languages such as Python, SQL)
- Experience with tools such as DataBricks, Google BigQuery, AWS, ESRI or other GIS tools.
- Experience in R&D-focused environments that have a physical product component (eg. aerospace, defense, medical devices, or advanced manufacturing)
- Experience with systems thinking and mapping delivery process across functional teams.
- Certification with process management techniques (e.g., CSEP, Lean Six Sigma, TOGAF).
-Certified with agile process management eg. Scrum Master, PMP, SAFe,
- Familiarity with the software development lifecycle and with data technologies (eg. programming languages such as Python, SQL)
- Experience with tools such as DataBricks, Google BigQuery, AWS, ESRI or other GIS tools.
- Experience in R&D-focused environments that have a physical product component (eg. aerospace, defense, medical devices, or advanced manufacturing)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.