At Picton Mahoney Asset Management (PICTON Investments), being alternative isn’t just what we do—it’s who we are. Founded by industry pioneer David Picton, we’ve spent 20 years challenging conventional wisdom and redefining the investing landscape. With a team of 241 bold thinkers—one-third dedicated solely to investment management, we are specialists, not generalists.

Managing over $19.3 billion (July 31, 2026) for institutional and retail clients, we navigate markets with conviction, resilience, and a forward-thinking approach. At PICTON Investments , you’ll thrive in our creative and dynamic workplace, where collaboration and support are at the core of everything we do. At our firm, you’ll have the opportunity to take on significant responsibilities, work in a flexible environment, and tackle challenging projects from the outset.

Our culture is designed for ambitious professionals who want to make an immediate impact while continuing to push boundaries and achieve our greater mission. You’ll be empowered with a high level of responsibility, trust, and flexibility, providing an exciting and creative space for you to help reshape how the world views alternative investments. With competitive total rewards, performance‑based bonuses, and a clear path for career growth, you’ll have everything you need to develop both now and over the longer term.

We are looking for a Vice President, Data Engineering to define and lead PICTON’s data strategy across investment data, analytics, and AI. This is a strategic, hands‑on leadership role responsible for building the architecture, governance, and engineering capabilities needed to turn complex financial data into reliable, accessible, and actionable products. You will work closely with Engineering, Investment, Product, and AI teams to build a modern data foundation that enables faster innovation and better decision‑making.

Data Strategy & Architecture Define and execute PICTON’s enterprise data strategy,



architecture, and roadmap across Databricks, Snowflake, APIs, applications, analytics, and AI. Establish scalable architecture and make pragmatic decisions balancing performance, security, cost, and business needs. Build a modern data platform supporting portfolio construction, performance, risk, analytics, and AI use cases.

Lead the design of reliable, scalable pipelines for market, security, portfolio, and historical data . Establish practical standards for data quality, lineage, governance, security, and ownership . Evolve financial data models and semantic layers to create consistent, reusable data across products and teams.

Ensure data can be easily consumed through APIs, applications, analytics, and AI/LLM solutions. Build and lead a high‑performing Data Engineering and Data Platform team . Partner with Engineering, Investment, Product, and AI leaders to translate business needs into effective data solutions.

Identify opportunities to leverage modern data and AI technologies to create competitive advantage. Communicate complex technical concepts effectively to both technical and business stakeholders. 10+ years of experience in data engineering, data platforms, architecture, or technology leadership, including significant team leadership experience. ~ Strong experience with modern cloud data platforms, particularly Databricks, Snowflake, SQL, APIs, and distributed data pipelines . ~ Deep understanding of financial/investment data , including securities, portfolios, market data, performance, risk, and time‑series data.



~ Experience building data platforms that support analytics, SaaS applications, and AI/LLM workloads. ~ Solid understanding of data governance, quality, lineage, security, and ownership. ~ Ability to move between strategic thinking and technical detail , making pragmatic architecture decisions. ~ Strong business acumen and exceptional communication and stakeholder‑management skills. ~ Proven ability to build, develop, and lead high‑performing technical teams. A trusted, scalable data foundation where teams can quickly find, understand, and reliably access the right data—and build products, analytics, and AI capabilities without repeatedly solving the same data problems.

The result will be a data platform that enables faster innovation, stronger investment capabilities, and sustainable competitive advantage . Our benefits include corporate fitness reimbursement and discounts, VersaFi memberships (formerly Women in Capital Markets), Picton investment counseling and portfolio management services, volunteer and charitable donation matching, maternity and parental leave top‑up, recognition awards, semi‑annual performance bonuses, a generous annual vacation entitlement (minimum of 15 days per year), training and development reimbursement, extensive health and dental benefits, a healthcare spending account, and more. PICTON Investments is committed to providing an equitable and fair work environment for everyone and all hiring and other personnel actions will be taken without regard to race, colour, creed, religion, sex, disability, gender identity, gender expression, family status, age, language or national origin.

Any unsolicited outreach, including commercial electronic messages, will neither be acknowledged nor considered. We use AI‑assisted tools to support parts of our recruitment process, including summarizing interview notes and aligning candidate profiles with job requirements.

📌 Vice President, Data & Data Engineering (Toronto)
🏢 PICTON Investments
📍 Toronto