Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

About 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.

Responsibilities

• Own the delivery. End-to-end. Scope, timeline, team structure, quality, outcome. You're the single point of accountability the client relies on.
• Design how it gets delivered. Shape the delivery approach for complex data and AI engagements — define the delivery plan, phase the work, structure the team, and manage dependencies across data engineering, analytics, and AI workstreams.
• Partner 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.
• Pick up where the deal ends and make it real. Stand up the delivery, mobilize the team, and drive execution from day one — delivering proven capabilities in weeks, not quarters.
• Lead across borders. Coordinate onshore delivery leadership with offshore engineering teams. Set priorities, define workstreams, remove blockers, and keep the entire delivery machine moving at pace.
• Drive quality and outcomes. Establish delivery governance, define checkpoints, track progress against commitments, and ensure every engagement delivers measurable client value — from data platform readiness to AI models in production.

Requirements

• Minimum 7 years in hands-on, client-facing technology roles — you've built and delivered, not just managed.
• Minimum 5 years architecting and delivering on Google Cloud Platform, with deep expertise in data engineering, analytics, AI/ML, and modern data platforms.
• Independently owned client engagements from technical design through go-live.
• Deep hands-on proficiency with BigQuery, Vertex AI, Dataflow, and data pipeline architecture — you can design a data platform, build a model, and troubleshoot a broken pipeline.
• Working knowledge of agentic AI patterns — agent orchestration, tool use, grounding, retrieval-augmented generation.
• Strong in both technical leadership and delivery management — architecture, scope, risk, stakeholders.
• Experience with distributed global teams and modern engineering practices.
• Clear communicator — whiteboarding with engineers or presenting to a C-suite.

Qualifications

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
• Google Cloud Professional certifications (Data Engineer, ML Engineer, Cloud Architect)
• Hands-on experience with Gemini Enterprise Agent Platform, ADK, A2A, or MCP
• Experience building production ML/AI systems — not just prototypes
• Track record delivering data platform modernizations and AI solutions at pace across multiple clients
• Deep expertise in data governance, migration strategy, and lakehouse architecture on GCP

Skills & Technologies

• Data Platforms: BigQuery, Dataflow, Pub/Sub, Cloud SQL, Spanner, Bigtable
• Analytics & BI: Looker, connected sheets, real-time dashboards, semantic modeling
• Artificial Intelligence & Machine Learning: Vertex AI, Gemini models, AutoML, custom model training, MLOps pipelines
• Agentic & Generative AI Patterns: Gemini Enterprise Agent Platform, ADK, RAG, A2A protocol, MCP

Benefits

Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Sustainability is one of our greatest responsibilities, embedded into everything we do. Accenture is committed to providing equal employment opportunities for persons with disabilities. Please let us know if you require reasonable accommodation during the recruitment process.

Pay

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

Schedule

Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.