Lead the strategy, architecture, and execution of our modern data, AI, and engineering enablement ecosystem
Drive the evolution of enterprise platforms built on Snowflake, Informatica, and AWS
Enable scalable data products, intelligent automation, and trusted insights across the firm
Define and communicate a compelling multi-year vision for data, integration, AI engineering, and platform capabilities aligned to firm objectives
Own the platform roadmap (prioritization, resourcing/squads, budget, dependency management, and measurable outcomes)
Partner with Architecture, Security, Risk, and Business leaders to align priorities, ensure adoption, and drive change management across the organization
Provide executive and hands-on technical leadership for scalable data pipelines supporting batch, micro-batch, and streaming workloads
Lead modernization of the Informatica IICS/IDMC ecosystem
Establish production-grade AI engineering patterns and implement Responsible AI controls and governance
Provide leadership for cloud infrastructure and platform operations supporting data and AI services on AWS
Champion developer productivity by standardizing CI/CD, environment automation, code quality practices, and reusable templates/accelerators
Lead and grow a high-performing organization of managers, architects, and senior engineers across data, platform, and AI domains.

Requirements

10+ years of progressive technology leadership, including leadership of large teams and multi-year transformation programs
Deep expertise designing and operating scalable data pipelines, enterprise data lakes, and cloud data warehouse solutions
Strong hands-on and leadership experience with Snowflake (architecture, optimization, governance, security, and cost management)
Strong expertise with Informatica IICS/IDMC (ETL/ELT, Data Quality, ingestion frameworks, API-based integration)
AWS cloud platform experience, including operational excellence, security controls, and reliability engineering practices
Understanding of AI engineering patterns (LLM integration, RAG, vector search, evaluation, and MLOps) and Responsible AI principles
Proven ability to translate complex technical topics into executive-ready communication and drive stakeholder alignment and adoption.

Benefits

Excellent benefits and wellness programs to support the three pillars of your well-being – mental, physical and financial – including generous vacation and sick time
Market-leading maternity, parental and adoption leave top up program
Partially-paid sabbatical program
Pension, stock and savings programs with an employer-paid match to help build and enhance your future financial security
Flexible work environment with a friendly, caring, collaborative and inclusive culture focused on career growth development
Award winning workplace culture - Great Place to Work® Certified in Canada and the U.S., “Best Places to Work” by Glassdoor, Award for Excellence for Mental Health at Work, “Best Places to Work in Money Management” by Pension & Investments

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata engineeringdata pipelinescloud data warehouseETLELTAI engineeringMLOpsCI/CDenvironment automation

Soft Skills

leadershipcommunicationstakeholder alignmentchange managementstrategic visionteam managementexecutive communicationcollaborationprioritizationbudget management