Job description

Senior Manager, Solutions Architecture - Data and AI As a Senior Manager, Solutions Architecture with a focus on Data & AI , you'll bridge the gap between pre-sales strategy and project delivery. Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies , you'll help shape, architect, and launch impactful solutions that align with client and executive partner goals. Whether leading architectural discovery for new data and AI initiatives or guiding in-flight projects, you'll ensure solutions are both technically sound and aligned with business objectives and operational needs. You'll engage with prospective clients to explore how our capabilities can meet their unique data and AI challenges, lead architecture efforts for new engagements, and collaborate closely with delivery teams to bring client visions to life. You'll also provide critical estimates around team composition, build scope, and resource planning—ensuring data and AI projects are realistically scoped and staffed for success. Between engagements, you'll lend your expertise across teams as a flexible problem-solver, while deepening your knowledge in areas like cloud data platforms (e.g., Databricks, Snowflake, Azure, AWS, GCP) or advanced AI/ML methodologies. Location & Flexibility Our Solutions Architects are integral to our Commercial team. To ensure they can maximize their impact, we are prioritizing candidates who are willing to maintain a weekly in-office presence in a hybrid capacity (Tuesdays, Wednesdays, and Thursdays) in one of our offices: Charlottesville, VA (HQ), Durham, NC, Columbus, OH, or Boston, MA. The Opportunity As a Senior Manager Solutions Architecture with a focus on Data & AI , you'll play a pivotal role in bridging the gap between pre-sales strategy and project delivery. Drawing on your deep knowledge of data ecosystems, machine learning, and AI technologies , you'll help shape, architect, and launch impactful solutions that align with client and executive partner goals. Whether leading architectural discovery for new data and AI initiatives or guiding in-flight projects, you'll ensure solutions are both technically sound and aligned with business objectives and operational needs. You'll engage with prospective clients to explore how our capabilities can meet their unique data and AI challenges, lead architecture efforts for new engagements, and collaborate closely with delivery teams to bring client visions to life. You'll also provide critical estimates around team composition, build scope, and resource planning—ensuring data and AI projects are realistically scoped and staffed for success. Responsibilities • Presale: Lead scoping, technical design, and work planning during the presale process, articulating our data and AI capabilities to prospective clients. • Delivery: Lead role in technical architecture and discovery projects, using consulting methods to refine the data product and technical architecture of client projects. This includes designing scalable data pipelines, machine learning model architectures, and MLOps frameworks. • Subject Matter Expertise: Own a "technology vertical" within Data & AI, encompassing solution design, platform selection (e.g., Databricks, Snowflake, AWS Bedrock), implementation support, and thought leadership. This may include areas such as large-scale data warehousing, real-time analytics, machine learning operations (MLOps), or agentic AI systems. • Roving Catalyst: Enhance existing project teams with architectural account-level guidance or specific subject matter expertise in data engineering, machine learning, or artificial intelligence. Qualifications • Multi-platform familiarity, with expertise in one or more of the following: • Cloud Data Platforms: Deep experience with Databricks, Snowflake, or other major cloud data warehousing/lakehouse solutions. • Cloud AI/ML Services: Proficiency with cloud-native AI/ML platforms (e.g., AWS Bedrock / Sagemaker, Azure ML, Google AI Platform/Vertex AI). • Backend Cloud Platforms: Strong experience with major cloud providers (AWS, Azure, GCP) for deploying and managing data and AI solutions. • Data & AI Industry Expertise: Specialized…

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