Field CTO - Data & Agentic Transformation, Google Cloud
AI summary of the role
This role is a Technical Delivery Lead within Accenture's Google Business Group Mid-Market team, owning end-to-end delivery of data and AI engagements for mid-market clients.
What you’ll do
- Own end-to-end delivery of data and AI engagements, from solution shaping to go-live, as the single point of accountability.
- Design delivery plans, phase work, structure teams, and manage dependencies across data engineering, analytics, and AI workstreams.
- Provide technical advisory to clients on Google Cloud services and implementation approaches.
- Lead status reviews, manage expectations, and navigate trade-offs with clients, especially in iterative AI development.
What you’ll bring
- Minimum 7+ years in hands-on, client-facing technology roles.
- Minimum 7+ years independently owning client engagements from technical design through go-live.
- Minimum 3+ years architecting and delivering on Google Cloud Platform with data engineering, analytics, AI/ML expertise.
- Minimum 3+ years with BigQuery, Vertex AI, Dataflow, and data pipeline architecture.
Technologies
BigQuery · Dataflow · Pub/Sub · Cloud SQL · Spanner · Bigtable · Vertex AI · Gemini · AutoML · MLOps · Looker · Gemini Enterprise Agent Platform
About Accenture
Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.
Public · 5000+ people
Source and classification
Implementation & delivery · Evidence for this classification:
this shift with the Gemini Enterprise Agent Platform, Vertex AI, and the most powerful data stack in the industry. Our mid-market clients need lean, agile leaders who can unlock massive amounts of untapped data and rapidly turn it into a distinct competitive advantage. The Role You're the person the client trusts to make it happen. As a Technical Delivery Lead, you own delivery from initial solution shaping through go-live. You design the execution approach for data and AI engagements, lead the implementation, and ensure the final product fundamentally upgrades how the client leverages data and intelligent automation. You're supported by a dedicated offshore engineering team — you set the strategic direction, and they build alongside you. But you're the single point of accountability for what ships. This role is for an execution-focused leader who takes full ownership of their work.
More from the job description
Who We Are We're the Accenture Google Business Group Mid-Market team, a specialized group of engineers, architects, and builders delivering tailored Google Cloud solutions for mid-market, high-growth, and fast-paced enterprises. We partner with dynamic organizations to connect them with the right combination of Accenture solutions and Google Cloud products to accelerate business transformation and solve real-world problems, quickly. We're expanding our team to meet the unique, rapid execution needs of the mid-market segment. The Domain Data and AI are no longer back-office functions — they're the engine of every modern business decision. And with the arrival of agentic AI, we're entering a new era: intelligent agents that don't just analyze data but act on it — automating complex workflows, making autonomous decisions, and transforming how companies operate. Google Cloud is leading this shift with the Gemini Enterprise Agent Platform, Vertex AI, and the most powerful data stack in the industry. Our mid-market clients need lean, agile leaders who can unlock massive amounts of untapped data and rapidly turn it into a distinct competitive advantage. The Role You're the person the client trusts to make it happen. As a Technical Delivery Lead, you own delivery from initial solution shaping through go-live. You design the execution approach for data and AI engagements, lead the [... source excerpt omitted ...] u care deeply about delivery quality, data architecture outcomes, agent design, and speed-to-value for the business. You hold yourself to a higher standard than anyone else would. You'll work directly with client stakeholders — immersing yourself in their environment, understanding their fast-evolving resource constraints, and delivering outcomes that matter in weeks, not quarters. You'll have the autonomy to shape how they experience the full power of Google Cloud's data and AI stack, from first conversation to go-live. What You'll Do Own the delivery. End-to-end. Scope, timeline, team structure, quality, outcome. You're the single point of accountability the client relies o [... source excerpt omitted ...] tner with solution engineers who own the technical architecture; you own how it gets executed and shipped. Provide technical advisory across the engagement — Guide our mid-market clients and teams on our offerings, technical implementation, and the underlying Google Cloud services, with a deep understanding of each client's existing environment and architecture. Be the client's trusted delivery partner. You're the face of the engagement. Lead status reviews, manage expectations, navigate trade-offs in real time, and ensure the client always knows where things stand — especially when the work involves iterative AI development where scope evolves. Get solutions into clients' h
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