Director, Data & AI Engineering SLC Management

SLC Management is a growing global asset management firm providing innovative and diversified investment solutions to institutional investors. We are breaking new ground with a full spectrum of solutions for a growing institutional client base of more than 1400 organizations. Our history of organic and strategic growth reflects this commitment with over CA$422/US$304 billion in assets under management (AUM). As a subsidiary of Sun Life we are aligned with one of the worlds leading financial services companies and benefit from the stability and strength of that relationship.

We are a performance-driven organization with a deliberate focus on fostering a development-focused inclusive culture revolving around our Core Values of being client obsessed valuing each other acting with speed and having an owners mindset. As part of our team you play a role in fulfilling our purpose and making a offer a rewarding work environment that is filled with opportunity for growth where you will be empowered to meet the challenges of a highly competitive landscape.

Visit our website to learn more and for the most up to date AUM information.

SLC Management offers a mix of in-office and virtual work where our employees are empowered to do their best. Generally employees are expected to work three or more days in-office each week with flexibility depending on their business client and team needs.

As the Senior Director Data & AI Engineering Platforms to lead the strategy architecture and execution of our modern data AI and engineering enablement ecosystem. This role will drive the evolution of enterprise platforms built on Snowflake Informatica and AWS - enabling scalable data products intelligent automation and trusted insights across the firm. This is a leadership role for a technology influencer who brings deep engineering expertise a strong product mindset and the ability to elevate a broad technical community. You will lead platform modernization strengthen engineering excellence and empower teams to build high-performing secure and well-governed solutions that deliver measurable business outcomes.

WHATS IN IT FOR YOU:

• Opportunity to shape SLC Managements enterprise data analytics and AI strategy and platform roadmap.

• High visibility role with significant impact across investment distribution and partner functions.

• A performance-driven inclusive culture grounded in core values: client obsessed value each other act with speed and an owners mindset.

WHAT YOU WILL DO:

1) Strategy Product & Stakeholder Leadership

• 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.

• Champion modern delivery methodologies (agile data products data mesh) to increase speed-to-value and business impact.

2) Data Engineering Platforms (Pipelines Data Lakes & Snowflake Warehouse)

• Provide executive and hands-on technical leadership for scalable data pipelines supporting batch micro-batch and streaming workloads.

• Lead enterprise data lake architectures for structured and unstructured data ingestion curation metadata and lifecycle management.

• Oversee Snowflake data warehouse environments including data modeling performance tuning workload management security controls and cost governance.

• Establish standards for data reliability: automated data quality rules lineage observability and operational SLAs/SLIs.

• Drive the creation of reusable governed data assets and data products to accelerate analytics and AI use cases.

3) Integration & Data Enablement

• Lead modernization of the Informatica IICS/IDMC ecosystemincluding ingestion patterns ETL/ELT designs API-led integration and automation.

• Strengthen enterprise Data Quality practices (profiling rules exception workflows) and integrate DQ into CI/CD and operational monitoring.

• Improve metadata automation lineage capture and governance integration across Informatica and Snowflake.

4) AI Engineering & Responsible AI

• Lead engineering direction for AI solutions including LLM-based capabilities retrieval-augmented generation (RAG) vector search and evaluation frameworks.

• Establish production-grade AI engineering patterns (prompt management guardrails model monitoring and human-in-the-loop workflows).

• Partner with Risk Compliance and Security teams to implement Responsible AI controls and governance that enable innovation while managing risk.

5) Infrastructure Management & Operational Excellence (AWS Reliability Security)

• Provide leadership for cloud infrastructure and platform operations supporting data and AI services on AWS (networking compute storage security IAM).

• Establish and mature SRE/operations practices: incident management problem management runbooks on-call readiness and post-incident learning.

• Own platform resilience and continuity planning including backup disaster recovery failover testing and capacity management.

• Implement robust observability across pipelines and platforms (logging metrics traces) to ensure availability performance and cost transparency.

• Ensure platforms meet enterprise security privacy and regulatory requirements through strong control design and continuous compliance.

6) Developer Experience & Engineering Culture (Developer Advocacy)

• Champion developer productivity by standardizing CI/CD environment automation code quality practices and reusable templates/accelerators.

• Lead Communities of Practice internal technical forums and architecture reviewsraising the technical bar and sharing best practices.

• Create reference implementations and golden paths for Snowflake Informatica data pipelines and AI engineering.

7) People & Organizational Leadership

• Lead and grow a high-performing organization of managers architects and senior engineers across data platform and AI domains.

• Build strong technical career pathways and mentor emerging leaders; maintain high engagement and an inclusive environment.

• Set clear goals establish accountability and drive a culture of continuous learning innovation and execution excellence.

WHAT YOU WILL NEED TO SUCCEED:

• 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.

Why SLC Management

• Opportunity to work for a growing global institutional asset manager
• 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 a partially-paid sabbatical program and much more
• Pension stock and savings programs with an employer-paid match to help build and enhance your future financial security
• A flexible work environment with a friendly caring collaborative and inclusive culture focused on career growth development #WeWinAsATeam
• The opportunity to move along a variety of career paths with amazing networking potential
• 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

SLC Management is a regulated business and this means that there are certain financial reporting and trading preclearance requirements for all employees. Successful candidates will be required to declare personal investment accounts and securities investments as well as seek preclearance on future transactions including those of household members.

Salary Range

We are committed to pay transparency and equity. The base salary range for this role is competitive and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined by your unique skills qualifications experience education and geographic addition to base salary this position is eligible for a discretionary annual incentive award based on individual and overall business performance along with a broad range of competitive benefits.

We are committed to fostering an inclusive environment where all employees feel they belong are supported and empowered to thrive. We are dedicated to building teams with varied experiences backgrounds perspectives and ideas that benefit our colleagues clients and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

We may use artificial intelligence to support candidate sourcing screening interview scheduling.

We will make reasonable accommodations to known physical or mental limitations. Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to .

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.