Data Infrastructure Lead

Toronto, Ontario, Canada

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Sagard Overview: 

Sagard Holdings ("Sagard") is a multi-strategy alternative asset manager with professionals located in North America, Europe, and the Middle East. Since 2016, Sagard has grown exponentially. Assets under management have expanded from US$500M to over US$25B, and Sagard's team of diverse professionals has grown from 50 to over 300 team members in just 5 years.

Sagard invests across four asset classes: Venture Capital, Private Equity, Private Credit, and Real Estate.. Sagard was founded by Power Corporation of Canada (“Power”) as a complement to its global investment holdings and serves as one of its key strategic priorities with strong, long-term growth objectives. Power is one of the largest public companies in Canada, and a significant stakeholder in Sagard.

Sagard's entrepreneurial DNA is palpable across our entire team and is a platform built by entrepreneurs, for entrepreneurs. Sagard looks to generate attractive returns by matching investment opportunities with flexible capital solutions and pairing entrepreneurs with teams that have deep industry knowledge. Sagard develops long-term partnerships and empowers the growth of its investments through a unique global network of portfolio companies, limited partners, advisors, and other valued relationships. 

Sagard is a UN PRI signatory and strives to measure and assess the social and economic impact it has on the people and businesses within our network, as well as on our society as a whole.

More at https://www.sagard.com/.

Position Overview: 

We are seeking a Data Infrastructure Lead to join our team in Toronto or Montreal. This role is pivotal in advancing our data initiatives across the firm and within our portfolio companies, bridging technical expertise with strategic execution. The Data Engineering Lead will be responsible for designing and implementing scalable data sourcing and pipeline solutions, ensuring robust integration and alignment with our data vision.

Firm-wide, the successful candidate will lead the development of our data platform roadmap, delivering capabilities such as data integration pipelines, workflows, and applied AI tools to address key use cases. Within the portfolio, this role will serve as a thought leader and architectural advisor, collaborating with portfolio companies to design and implement tailored data solutions that drive operational success.

This role is ideal for a technically skilled professional who thrives on building scalable data systems while advising and collaborating across diverse teams and organizations.

Responsibilities: 

  • Create, evolve, and maintain data sourcing and pipelines.
  • Be a data innovator when it comes to rethinking pipelines, sources and tooling.
  • Drive cross-functional data efforts to achieve the company's overarching data vision.
  • Develop a comprehensive roadmap for the data platform's evolution and enhancement.
  • Prioritize initiatives based on business value and feasibility.
  • Develop innovative pipelines and information workflows.
  • Advise portfolio companies on data engineering and data architecture.
  • Help to develop our data platform.
  • Be able to be both hands on and advisory.
  • Work closely with business leaders, IT teams, and other stakeholders to understand needs and deliver data solutions.

Requirements: 

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Advanced degree (Master's or PhD) is preferred.
  • Minimum of 7-10 years of experience in data management, data architecture, or related roles.
  • Extensive experience within the asset management or financial services industry.
  • Proven track record of building amazing data engineering solutions.
  • Experience in developing and managing data pipelines.
  • Familiarity with data platform technologies, dashboards, workflows, and applied AI solutions.
  • Hands on experience with Python, Golang, Typescript.

What we're looking for 

  • Owner mindset, driven to achieve results.
  • Strong interpersonal, negotiation and other communication skills.
  • Superior analytical skills, sound judgment and good business sense.
  • Ability to work across organizational boundaries and investment strategies.
  • Self-starter, reliable, efficient, proactive, organized, creative and detail oriented.

Sagard is an equal opportunity employer, which values diversity in the workplace. We are therefore happy to accommodate any individual. If you require accommodation in order to participate in the hiring process. Please contact the People & Culture team to make your needs known in advance. 

We welcome all applications and wish to thank all candidates for their interest in applying for this position. However, only individuals selected for interviews will be contacted.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Architecture Computer Science Data management Data pipelines Engineering Golang PhD Pipelines Python TypeScript

Perks/benefits: Career development

Region: North America
Country: Canada

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