Senior Data & AI Solutions Architect – Presales & Delivery

TELUS Digital; United States; Hybrid; USD 180,000 - 250,000; Full time

Job summary

TELUS Digital is seeking a Senior Manager, Solutions Architecture focused on Data & AI to bridge pre-sales strategy and project delivery. You will lead architectural discovery for new data initiatives and guide delivery teams to align with client goals and operational needs.

You’ll shape solutions using platforms like Databricks, Snowflake, AWS Bedrock, and cloud data services, while driving scalable data pipelines and ML architectures in an agency/client setting.

Qualifications

• Deep knowledge of data ecosystems, including ingestion, ETL/ELT, warehousing, data lakes and real-time analytics.
• Understanding of ML/AI concepts, MLOps, and advances like Agentic AI and LLMs.
• Experience estimating work, planning, and building project plans within time/cost constraints.
• Ability to translate complex data/AI topics for both technical and executive audiences.
• Experience delivering data or software solutions in agency/client-service environments.

Responsibilities

• Presale: lead scoping, design, and work planning, articulating data/AI capabilities to clients.
• Delivery: lead architecture and discovery projects, design scalable data pipelines and ML architectures.
• Subject matter ownership: own a technology vertical within Data & AI, incl. platform selection.
• Roving catalyst: provide architectural guidance across project teams.

Skills

Multi-platform

Data & AI expertise

ML/AI acumen

Technical proficiency

Software estimation

Attention to detail

Agency experience

Executive communication

Commercial conversations

Modern delivery

Tools

Databricks

Snowflake

AWS Bedrock

Azure

GCP

Job description

TELUS Digital is seeking a Senior Manager, Solutions Architecture focused on Data & AI to bridge pre-sales strategy and project delivery. You will lead architectural discovery for new data initiatives and guide delivery teams to align with client goals and operational needs.

You’ll shape solutions using platforms like Databricks, Snowflake, AWS Bedrock, and cloud data services, while driving scalable data pipelines and ML architectures in an agency/client setting.