Senior Solutions Architect, Internal Enterprise Product Strategy

Senior Solutions Architect, Internal Enterprise Product Strategy

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients 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 or product partnerships.

We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with technology, software engineering, or enterprise architecture, focusing on data engineering or AI/ML systems.
• Experience with designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or AI/ML pipelines.
• Experience with developing solution architectures and utilizing system design techniques.

Preferred qualifications:

• Experience developing data and product strategies across a portfolio of internal systems within a complex enterprise.
• Expert-level knowledge of modern data tooling, cloud-native data services, MLOps frameworks, and large language model (LLM) orchestration patterns.
• Excellent organizational, analytical and influencing skills.

Responsibilities

• Author core blueprints, standardize AI patterns, and manage data governance and security parameters.
• Drive adoption and cross-pillar enablement by facilitating technical reviews and removing delivery friction.
• Collaborate with Environmental Protection Agency peers. Represent data/artificial intelligence at the executive architecture board.
• Evaluate industry trends and upskill engineering teams.