Overview
On Site
Full Time
Skills
Reporting
Specification Gathering
KPI
Investments
Translation
Product Strategy
Business Transformation
User Experience
Finance
Partnership
Documentation
Technical Writing
Project Coordination
Stakeholder Engagement
Roadmaps
Computer Science
Information Technology
IT Strategy
Solution Architecture
Management
Communication
Collaboration
Relationship Building
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Analytical Skill
Problem Solving
Conflict Resolution
Authorization
Optimization
Cloud Computing
Agile
DevOps
Continuous Integration
Continuous Delivery
Data Governance
Artificial Intelligence
Machine Learning (ML)
Regulatory Compliance
Financial Analysis
Return On Investment
Project Management
PMP
Scrum
Job Details
The Manager, AI/ML Technology Delivery, will report to the General Manager, TechOps Technology & Data Products and will lead the AI/ML Product Strategy team. The manager will
guide the TechOps AI/ML solution architecture (models, designs, specs) by working collaboratively with IT teams to create technical architectures and own the TechOps AI/ML technical roadmap development and execution. This role will drive creation of comprehensive roadmaps that prioritize AI/ML initiatives based on business impact, technical feasibility, and resource requirements, while establishing clear metrics and KPIs to measure and document value generation from AI/ML investments.
The manager will also collaborate with business partners and Business Performance groups to ensure business requirements are translated to technical requirements, solution specifications are created, and IT teams are engaged to produce architectural diagrams and technical documentation for the development process. Additionally, the Manager will partner with FinOps teams to assess cost implications and ROI projections for AI/ML initiatives, and work closely with IT teams to evaluate technical feasibility and infrastructure requirements for strategic decisions.
Responsibilities
What you need to succeed (minimum qualifications)
What will give you a competitive edge (preferred qualifications)
guide the TechOps AI/ML solution architecture (models, designs, specs) by working collaboratively with IT teams to create technical architectures and own the TechOps AI/ML technical roadmap development and execution. This role will drive creation of comprehensive roadmaps that prioritize AI/ML initiatives based on business impact, technical feasibility, and resource requirements, while establishing clear metrics and KPIs to measure and document value generation from AI/ML investments.
The manager will also collaborate with business partners and Business Performance groups to ensure business requirements are translated to technical requirements, solution specifications are created, and IT teams are engaged to produce architectural diagrams and technical documentation for the development process. Additionally, the Manager will partner with FinOps teams to assess cost implications and ROI projections for AI/ML initiatives, and work closely with IT teams to evaluate technical feasibility and infrastructure requirements for strategic decisions.
Responsibilities
- Strategic Roadmap Development: Create and execute comprehensive AI/ML technical roadmaps that prioritize initiatives based on business impact, technical feasibility, and resource requirements
- Value Documentation & Measurement: Establish clear metrics and KPIs to measure and document value generation from AI/ML investments; track ROI through defined success metrics, performance benchmarks, and business outcome measurements
- Technical Strategy Collaboration: Work with IT teams to evaluate technical feasibility and infrastructure requirements for strategic decisions and collaboratively create AI/ML solution architectures
- Requirement Translation: Collaborate with AI/ML Product Strategy team and Manager of Business Transformation and UX to translate business strategies into technical requirements and solution specifications
- Financial Partnership: Partner with FinOps teams to assess cost implications and ROI projections for AI/ML initiatives
- Architecture Documentation: Work with IT teams to produce architectural diagrams and technical documentation to guide the development process
- Project Coordination: Coordinate with delivery teams to ensure successful implementation of AI/ML solutions
- Stakeholder Engagement: Engage closely with TechOps business leaders, product owners, and IT teams to ensure roadmap delivery and future state achievement
- Cross-Functional Collaboration: Work closely with divisions across TechOps, IT and the AI/ML strategy and workstreams across the organization
What you need to succeed (minimum qualifications)
- Bachelor's degree in computer science, Engineering, Information Technology, or related technical field
- 7+ years of experience in technical strategy, solution architecture, or related roles
- 3+ years of experience with AI/ML technologies and implementations
- Ability to manage multiple projects, stakeholders, and technical workstreams simultaneously
- Strong communication skills with ability to engage all organizational levels
- Proven cross-departmental collaboration and relationship-building experience
- Understanding of AI/ML frameworks, platforms, and cloud services (AWS, Azure, Google Cloud Platform)
- Analytical problem-solving skills to translate business requirements into technical solutions
- Embraces diverse people, thinking and styles in collaborative technical environments
- Customer-first mindset and openness to stakeholder feedback
- Must be performing satisfactorily in current position
- Consistently prioritizes safety and security of self, others, and personal data.
- Embraces diverse people, thinking, and styles.
- Possesses a high school diploma, GED, or high school equivalency.
- Is at least 18 years of age and has authorization to work in the United States.
What will give you a competitive edge (preferred qualifications)
- Master's degree in relevant technical field
- FinOps experience and cloud cost optimization knowledge
- Cloud platform or AI/ML certifications
- Enterprise-scale AI/ML implementation experience
- Business/digital transformation background
- Agile, DevOps, and CI/CD experience
- Data governance and AI/ML compliance knowledge
- Financial analysis and ROI measurement experience
- Project management certification (PMP, Scrum Master)
- TechOps or operational technology environment experience
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.