The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As an Innovation and Strategy Lead within the Delta Innovation practice at Google Cloud Consulting, you will be a key leader driving cross-industry digital transformations for Google Cloud’s most strategic global enterprise clients. You will bridge strategic business goal with rapid execution, helping customer executives re-imagine core business processes, customer experiences, and operational models using cloud and artificial intelligence.
Operating with a product-centric mindset—distinguishing scalable product creation from bespoke project delivery—you will succeed in navigating ambiguous enterprise environments alongside VP and C-suite (CxO) executives. You will combine human-centered design strategy, cross-sector innovation methodology, and deep AI and agentic technology expertise to translate complex enterprise challenges into transformative, production-ready solution roadmaps. You will partner seamlessly with account leadership, technical delivery squads, and the broader Google ecosystem to lead innovation engagements from discovery through to value realization.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead design thinking workshops, discovery sprints, and co-creation sessions with clients to identify, validate, and prioritize high-impact AI use cases aligned with key business outcomes.
- Direct customer journey mapping, user research synthesis, and rapid experience prototyping for retail customer touchpoints, omnichannel shopping, and digital store operations.
- Apply applied expertise in artificial intelligence, generative AI, and agentic technology (including Gemini, Vertex AI, and GECX) to build compelling product narratives and define qualitative and quantitative business value cases.
- Translate abstract client needs into actionable product goals, user stories, success metrics, and sprint backlogs, ensuring solutions are built as scalable products rather than bespoke project deliverables.
Qualifications
Minimum qualifications:
- Bachelor’s degree in Business, Design, Computer Science, Engineering, or equivalent practical experience.
- 10 years of experience in a customer-facing role within innovation strategy, design strategy, product management, or management consulting.
- Experience with AI technologies (e.g., Generative AI, Large Language Models (LLMs), machine learning, or AI agent architectures) and cloud platforms.
- Experience advising enterprise leaders (Vice President/CxO) and leading cross-functional engagements.
Preferred qualifications:
- MBA or Master's degree in Strategic Design, or a related field.
- Experience leading design/innovation firms and tier-1 strategy consulting firms.
- Experience with Google Cloud's AI stack (Gemini, Vertex, GECX), building ROI models and repeatable product frameworks.
- Track record of pattern recognition to transform bespoke customer wins into scalable, industry-wide innovation plays.
- Track record of building product roadmaps, rapid value cases (qualitative and quantitative ROI models), user experience prototypes, and repeatable product frameworks.