Technical Delivery Lead – Applications, Google Cloud

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.