Lead of Consulting AI Product and Innovation
| Company | Armanino |
|---|---|
| Location | San Francisco, CA, USA, Austin, TX, USA, Los Angeles, CA, USA, San Jose, CA, USA, Irvine, CA, USA, Dallas, TX, USA, San Ramon, CA, USA, Philadelphia, PA, USA, Williston Park, NY, USA, Chicago, IL, USA, St Charles, MO, USA, St. Louis, MO, USA, Culver City, CA, USA, New York, NY, USA, Bellevue, WA, USA, Denver, CO, USA, El Segundo, CA, USA |
| Salary | $181500 – $296700 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 10+ years of experience in product management, transformation, or innovation leadership roles.
- Demonstrated ability to lead cross-functional teams and own product strategy and execution end-to-end.
- Experience managing product roadmaps, prioritization, and delivery in agile or iterative environments.
- Strong business acumen, with the ability to assess ROI, cost-benefit, and impact of product decisions.
- Effective communication, facilitation, and stakeholder engagement skills at senior and executive levels.
- Ability to partner closely with technical leads to translate business needs into executable solutions.
Responsibilities
- Drive End-to-End AI Product Development: Own discovery, definition, design, development, and deployment of AI-powered products—such as internal copilots, document intelligence agents, workflow assistants, and smart knowledge bases.
- Lead Use Case Discovery & Opportunity Framing: Engage stakeholders to uncover pain points and identify high-impact use cases where GenAI, automation, or predictive models can be applied.
- Define AI Product Requirements & Architectures: Translate complex business problems into actionable product requirements, including model recommendation (LLMs, embeddings, RAG pipelines), data integration needs, data flywheels and human-in-the-loop workflows.
- Orchestrate AI Toolchains & Technical Design: Collaborate with engineers to design modular, scalable solutions using Azure OpenAI and AWS Bedrock ensuring compliance with governance and performance standards.
- Own Backlog & Agile Execution: Manage the product backlog, sprint cadence, QA plans, and release coordination for AI and data-powered features.
- Prototype, Validate & Scale: Drive rapid prototyping, conduct user testing, and iterate based on feedback; support scale-up of successful MVPs across the firm.
- Measure and Communicate Business Value: Build business cases and track KPIs including time saved, accuracy improvement, cost reduction, and productivity lift. Be the evangelist in the firm the shares the business value achieved.
- Promote Adoption & Evangelism: Develop training, documentation, and change management strategies to support adoption of AI tools among consultants and operations teams.
- Contribute to Externalization Strategy: Help evaluate which internal AI products may be commercialized or extended into client-facing offerings.
Preferred Qualifications
- Bachelor’s degree in Business, Information Systems, Engineering, or a related field.
- Background in consulting, professional services, or operational transformation.
- Exposure to a range of innovation tools including AI, workflow automation, analytics, or enterprise platforms.
- Experience leading internal product initiatives that delivered quantifiable operational improvement.
- Familiarity with Microsoft Azure or Amazon Bedrock.