What are the responsibilities and job description for the US E-Consulting Services - Technical Lead -Project Delivery Manager– AI & Engineering - PDM position at Deloitte US?
Technical Lead -Project Delivery Manager – AI & Engineering
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Technical Lead, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client’s need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work you’ll do/Responsibilities
- Lead the modernization and consolidation workstream, accountable for scope, outcomes, and delivery execution.
- Define and manage product strategy, roadmap, prioritization, and release planning; own KPI definition and performance tracking.
- Drive agile delivery across one or more squads (Scrum/Kanban/SAFe), managing dependencies, risks, and impediments.
- Partner closely with engineering, UX, data/analytics, and operations to translate business needs into deliverable increments.
- Facilitate discovery through launch, including requirements, refinement, UAT coordination, SOPs/training, and change/adoption.
- Identify opportunities for process automation and operational optimization; reduce exceptions and improve cycle time/quality.
- Manage cross-functional and executive stakeholders, ensuring alignment, clear decisions, and transparent status reporting.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- 8 Years Experience in Agile delivery: Kanban (Mastery), SAFe (Mastery), Agile KPI & performance metrics (Mastery); Scrum/Kanban/SAFe execution across complex dependencies.
- 8 Years Experience in Product & Program leadership: Product strategy, roadmap ownership, prioritization, release planning, delivery management, product launch/GTM.
- 8 Years Experience in Healthcare domain: Proven delivery experience; payer/provider operations strongly preferred.
- 8 Years Experience in Design & customer experience: UX/UI design partnership (Mastery) and strong ability to translate user needs into product outcomes.
- 8 Years Experience in Technical leadership: Technical project/program management; strong planning, execution, and risk/issue management.
- 8 Years Experience in Analytics & decisioning: Data-driven problem solving, quantitative/competitive analysis, and use of insights to guide prioritization.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Analytical/ Decision Making Responsibilities
- Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations