Technical Solutions Architect, Internal Enterprise Product Strategy

About the role

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with.

In this role, you will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, and develop product strategy and prioritize projects and resources.

Responsibilities

• Lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners.
• Oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
• Develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with.
• Build tools and automate products, oversee the technical execution and business operations of Google's partnerships, and develop product strategy and prioritize projects and resources.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.
• Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.
• Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).

Qualifications

• Knowledge of modern data tooling, cloud-native data services, machine learning operations frameworks, and large language models (LLM) orchestration patterns.
• Excellent organizational, investigative and influencing skills.

Preferred qualifications

• Experience developing data and product strategies across a portfolio of internal systems within a complex, large-scale enterprise.

Skills

Define, drive, and scale enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.

Author core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions.

Collaborate with Environmental Protection Agency Peers.

Evaluate industry trends and upskill engineering teams.

Benefits

US: $183,000 - $266,000 (USD) + 20% bonus target + equity + benefits