Technical Delivery Lead – Applications, Google Cloud

Accenture

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Accenture, within the Accenture Google Business Group (AGBG) Mid-Market, seeks a Technical Delivery Lead to own end-to-end delivery of data and AI engagements. You will shape solutions, lead implementation with an offshore team, and ensure outcomes elevate client data usage and automation.

You’ll work directly with client stakeholders, maintain velocity across migrations, and drive delivery governance to ensure production-ready platforms that unlock measurable business value.

Qualifications

7+ years in hands-on, client-facing technology roles.
5+ years architecting and delivering on Google Cloud Platform.
Independent ownership of client engagements from design through go-live.
Deep hands-on proficiency with GKE, Apigee, CI/CD pipelines, and modern app architecture.
Strong in technical leadership and delivery management—architecture, scope, risk, stakeholders.
Experience with distributed global teams and modern engineering practices.
Clear communicator with engineers and executives.
Bachelor’s degree or equivalent work experience (12 years).

Responsibilities

Own the delivery end-to-end: scope, timeline, team structure, quality, outcomes.
Design delivery approach for data/AI engagements and coordinate migrations across workstreams.
Provide hands-on technical advisory across the engagement.
Be the client’s trusted delivery partner; lead status reviews and manage expectations.
Get solutions into clients’ hands fast; stand up delivery and drive execution from day one.
Lead cross-border coordination between onshore and offshore teams.
Drive quality and measurable client value from migrations to production.

Skills

Client-facing leadership

Delivery management

Architectural design

Whiteboarding

Education

Bachelor’s degree or equivalent

Tools

GKE

Apigee

CI/CD pipelines

Cloud Build

Job description

Who We Are:

We are the Accenture Google Business Group (AGBG) 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 are 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 are the engine of every modern business decision. With the arrival of agentic AI, we are entering a new era: intelligent agents that do not 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 implementation, and ensure the final product fundamentally upgrades how the client leverages data and intelligent automation. You are supported by a dedicated offshore engineering team—you set the strategic direction, and they build alongside you. You are the single point of accountability for what ships.

This role is for an execution-focused leader who takes full ownership. You hold yourself to a higher standard than anyone else would, caring deeply about delivery quality, data architecture outcomes, agent design, and speed-to-value for the business. You will 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.

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 on.
Design how it gets delivered. Shape the delivery approach for application modernization engagements, define the migration waves, structure the team across workstreams, set the release cadence, and sequence the work to minimize risk and maximize velocity. Partner with solution engineers who own the technical architecture; you own how it gets built, tested, and shipped.
Provide technical advisory across the engagement — Serve as the hands-on expert guiding mid-market clients through technical implementations, architectural trade-offs, and underlying Google Cloud ecosystem services.
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 during complex modernization programs with many moving parts.
Get solutions into clients’ hands fast. 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, manage release quality, and ensure every engagement delivers measurable client value — from successful migrations to production-ready platforms.

Domain Expertise:

Data Platforms & Engineering: Advanced proficiency in BigQuery, Dataflow, Pub/Sub, Cloud SQL, Spanner, and Bigtable for data migration, pipeline design, data quality governance, and lakehouse architecture modernizations.
Analytics & Business Intelligence: Hands-on experience executing semantic modeling, Looker deployments, connected sheets integrations, and real-time operational dashboards.
Artificial Intelligence & Machine Learning: Core understanding of Vertex AI, Gemini models, AutoML, custom model training, and building production-grade MLOps deployment pipelines.
Agentic & Generative AI Patterns: Working knowledge of modern agent orchestration patterns, including tool use, grounding mechanisms, Retrieval-Augmented Generation (RAG), Agent Development Kit (ADK), A2A protocol, and Model Context Protocol (MCP).

What Sets You Apart:

Google Cloud Certifications: Active Professional Google Cloud certifications (specifically Professional Data Engineer, Professional Machine Learning Engineer, or Professional Cloud Architect).
Advanced Agent Deployments: Documented hands-on deployment experience utilizing the Gemini Enterprise Agent Platform to automate complex cross-functional business workflows.
Production AI Experience: A proven history of scaling live, production-grade ML/AI systems out of the prototyping stage.
Cross-Functional Ecosystem Exposure: Secondary familiarity with adjacent Google domains, such as Google Enterprise for Customer Experience (GECX/CCAI), Google Security Operations, or Gemini Enterprise for Workspace.

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

What You’ll Need:

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 application development, modernization, and cloud-native engineering.
You’ve independently owned client engagements from technical design through go-live.
Deep hands-on proficiency with GKE, Apigee, CI/CD pipelines, and modern application architecture — you can design a microservices platform, review a PR, and debug a broken deployment.
Strong understanding of software engineering principles — clean code, testing strategies, observability, and operational excellence.
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.
Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Preferred Experience:

Bachelor’s in CS, Engineering, or related field — or 12 years equivalent experience.
Google Cloud Professional certifications (Cloud Architect, Cloud Developer)
Hands-on experience with Gemini Code Assist for AI-augmented development workflows
Deep expertise in application modernization patterns — strangler-fig, domain-driven design, event sourcing
Track record delivering large-scale re-platforming or re-architecture programs on GCP
Experience building and operating production Kubernetes platforms at scale

Your Domain Expertise

Primary — Applications

Domain Area

Skills & Technologies

Cloud-Native Architecture

Microservices, event-driven design, 12-factor app patterns, serverless (Cloud Run, Cloud Functions)

Containers & Orchestration

Google Kubernetes Engine (GKE), Docker, Anthos, service mesh (Istio)

API & Integration

Apigee, API gateway design, event-driven integrations, Pub/Sub

DevOps & CI/CD

Cloud Build, Jenkins, GitHub Actions, GitOps, automated testing, release management