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Senior Manager - Data Platforms

Toronto, ON, Canada

$130000.00 annually · Full-time

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $130000.00 annually
Job type: Full-time
Closing date: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

Archived listing. The details below describe a past opening.

Agilus by Synergie is recruiting for a Senior Manager - Data Platforms in the Financial Industry in a hybrid work environment in Toronto, Ontario.

Responsibilities

Guidance and Direction: Provide clear direction to the team, set goals, and keep the team accountable for their deliverables. Align team goals with the overall direction of the Data & AI technology roadmap and enterprise standards
Relationships: Build and maintain strategic partnerships with key stakeholders to facilitate the effective delivery of operating model and support structures. Communicate proactively with stakeholders and cross-functional teams (Platform, Security, Cloud Ops, Networking, Data Governance) to align priorities, manage expectations, and drive adoption of platform standards. Oversee vendor relationships, licensing, and procurement for internal IT systems
Process Improvements: Identify and implement process improvements, automation opportunities, and IT best practices to improve service delivery and reduce manual IT tasks. Continually improve platform SOPs, KPIs, Dashboards for efficiency and automation
Site Reliability: Define and manage SLIs, SLOs, and SLAs for data platform services. Implement reliability strategies such as redundancy, failover, and disaster recovery. Establish observability practices (monitoring, logging, tracing, alerting). Reduce toil through automation of operational and maintenance tasks. Manage error budgets and balance reliability with feature delivery
Incident Management: Monitor system health and proactively address performance bottlenecks. Provide support during major incidents, including after-hours support. Lead incident response, communications to users and stakeholders, and root-cause analysis with clear action items and follow-through
Troubleshooting: Analyze, triage, and resolve platform issues promptly to achieve SLOs and platform reliability objectives. Conduct blameless postmortems and drive continuous reliability improvements. Drive error-budget aware practices, post-incident reviews, and resilience engineering (e.g., autoscaling, retry/backoff strategies, policy guardrails)

Successful Candidates Will Have

15+ years of progressive IT experience in big organizations operating in various geographies/regulations
5+ years of leading big teams of diverse skill sets, Experience in management of workload, hiring, team building and relationship management
5+ Experience managing enterprise data platforms on 24/7 scale, Strong knowledge of cloud platforms. Experience with reliability engineering, monitoring tools, and incident management
trong exposure to IT operations & Knowledgeable about organizations and their culture and understands the reasoning behind key policies, practices and procedures Comprehensive understanding of SDLC, cross functional team dependencies, hands on experience of working with teams across various departments
Ability to multi-task and work with internal and external clients. Ability to set goals and work with minimal supervision
Excellent communication, presentation, interpersonal, negotiation, facilitation, influencing, and organization skills. Strong business focus, passion for the challenges of our partners, and commitment to meet expectations of business and internal partners. Must be able to grasp complex financial concepts and be able to apply these concepts in a systems context
Bachelor’s degree in computer science, Engineering, Mathematics, Management or related field

Total Rewards

$130000.00 annually
Competitive benefit package
Hybrid working model

Further Additional Qualifications

Works effectively and efficiently in a virtual, multi-site environment
Facilitate the discovery of alternatives and drives decision-making to closure and action

This posting is for an active opening.

Interested?

Please apply directly online

Agilus by Synergie would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview.

We encourage you to visit agilus.ca regularly or subscribe to our email alerts at agilus.ca/Account/Register as new exciting employment opportunities become available daily.

About employer

More about this job

Responsibilities

Lead the data platforms team, align its goals with the enterprise Data & AI roadmap, and manage stakeholder and vendor relationships. Oversee platform reliability, service-level objectives, observability, incident response, process improvement, and automation, including after-hours support for major incidents.

Requirements

Candidates need 15+ years of progressive IT experience, 5+ years leading large, diverse teams, and 5+ years managing enterprise data platforms at 24/7 scale. A bachelor's degree in computer science, engineering, mathematics, management, or a related field is specified, along with cloud, reliability engineering, IT operations, communication, and financial-systems knowledge.

Skills

Team Leadership
Data Platform Management
Cloud Platforms
Site Reliability Engineering
Incident Management
Monitoring and Observability
Stakeholder Management
Vendor Management
Process Improvement
Automation
Disaster Recovery
Root-Cause Analysis
Resilience Engineering
IT Operations
Communication
Financial Systems

Benefits

Competitive Benefit Package

Visa sponsorship

Not detected in the job text

Keywords

Data Platforms
Data and AI Roadmap
Cloud Platforms
Site Reliability Engineering
Service-Level Indicators
Service-Level Objectives
Service-Level Agreements
Observability
Monitoring
Logging
Tracing
Alerting
Incident Management
Root-Cause Analysis
Disaster Recovery
Redundancy
Failover
Automation
Error Budgets
Resilience Engineering
Autoscaling
Retry and Backoff Strategies
Policy Guardrails
IT Operations
SDLC
Data Governance
Vendor Management
Financial Industry
Enterprise Standards

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