WillowTree
Senior Manager, Solutions Architecture - Data and AI
WillowTree, Columbus, Ohio, United States, 43224
Overview
Senior Manager, Solutions Architecture - Data & AI role at WillowTree. Welcome to TELUS Digital where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada2 s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. Location & Flexibility
Our Solutions Architects are integral to our Commercial team. To maximize 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 bridge pre-sales strategy and project delivery. Drawing on your 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 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 planningensuring 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. Responsibilities Presale: Lead scoping, technical design, and work planning during the presale process, articulating our data and AI capabilities to prospective clients. Delivery: Lead technical architecture and discovery projects, refining 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, 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 knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics. Machine Learning & AI Acumen: Awareness of current trends in ML (supervised, unsupervised, deep learning), MLOps, and advanced AI concepts like Agentic AI or LLMs. Technical Proficiency:
Deep understanding of MLOps principles and tools for CI/CD of machine learning models. Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
Experience with software estimation, work planning, and building project plans within time/cost constraints. An eye for details and an ability to navigate ambiguity. Experience delivering software or data solutions in an agency/client-service environment. Ability to clearly break down complex data and AI concepts to both technical and non-technical individuals, including executive stakeholders. Experience in having commercial conversations involving budgets and fees related to data and AI initiatives. Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies for data and ML). Excellent verbal and written communication skills. Ability to use repeatable frameworks to incorporate new data technologies or AI concepts. Appreciation for the wider client enterprise, beyond a single data project or AI initiative, and a desire to expand an account to service a client holistically. Equally comfortable working in pre-sale and post-sale environments.
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants e2 80 0s qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy. What Well Offer
In addition to a great culture and interesting work with opportunities for growth and development, this position is eligible for the following benefits: Healthcare benefits - Medical, Vision, Dental (Including an option for 100% coverage of individual employee medical premiums) Life & Disability Insurance 401K matching Flexible paid time off & paid company holidays Parental Leave Employee Share Purchase Plan Employee Assistance Program (EAP) And more!
USA Pay Range: $170,000 $220,000 USD #J-18808-Ljbffr
Senior Manager, Solutions Architecture - Data & AI role at WillowTree. Welcome to TELUS Digital where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada2 s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. Location & Flexibility
Our Solutions Architects are integral to our Commercial team. To maximize 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 bridge pre-sales strategy and project delivery. Drawing on your 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 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 planningensuring 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. Responsibilities Presale: Lead scoping, technical design, and work planning during the presale process, articulating our data and AI capabilities to prospective clients. Delivery: Lead technical architecture and discovery projects, refining 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, 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 knowledge of the data ecosystem, including data ingestion, ETL/ELT processes, data warehousing, data lakes, and real-time analytics. Machine Learning & AI Acumen: Awareness of current trends in ML (supervised, unsupervised, deep learning), MLOps, and advanced AI concepts like Agentic AI or LLMs. Technical Proficiency:
Deep understanding of MLOps principles and tools for CI/CD of machine learning models. Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
Experience with software estimation, work planning, and building project plans within time/cost constraints. An eye for details and an ability to navigate ambiguity. Experience delivering software or data solutions in an agency/client-service environment. Ability to clearly break down complex data and AI concepts to both technical and non-technical individuals, including executive stakeholders. Experience in having commercial conversations involving budgets and fees related to data and AI initiatives. Passion to apply modern processes that transform client organizations (e.g., continuous delivery, rapid iteration, and agile-inspired methodologies for data and ML). Excellent verbal and written communication skills. Ability to use repeatable frameworks to incorporate new data technologies or AI concepts. Appreciation for the wider client enterprise, beyond a single data project or AI initiative, and a desire to expand an account to service a client holistically. Equally comfortable working in pre-sale and post-sale environments.
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants e2 80 0s qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our Privacy Policy. What Well Offer
In addition to a great culture and interesting work with opportunities for growth and development, this position is eligible for the following benefits: Healthcare benefits - Medical, Vision, Dental (Including an option for 100% coverage of individual employee medical premiums) Life & Disability Insurance 401K matching Flexible paid time off & paid company holidays Parental Leave Employee Share Purchase Plan Employee Assistance Program (EAP) And more!
USA Pay Range: $170,000 $220,000 USD #J-18808-Ljbffr