Senior Director, Data Science & AI Enablement
Aviso Wealth View all jobs
- Toronto, ON
- $160,000-180,000 per year
- Permanent
- Full-time
- Service – You put your clients’ needs first. You advocate service excellence, and work to deliver client-centric solutions, and proactively develop strategic partnerships that allow Aviso Wealth to become a trusted advisor and partner
- Execution – You are committed to achieving your goals and to succeed. This includes focusing on “getting things done”, as well as recognizing and taking advantage of opportunities as they arise. You are consistently looking for ways to improve your personal best and see value in continuous improvement. You take accountability for your actions and learn from mistakes
- Collaboration – You work collaboratively with others with the common goal of driving positive results. Making meaningful contributions to your team to achieve organizational goals is a priority. You proactively encourage collaboration, build trust and inclusion, and work to establish effective relationships both inside and outside of the organization
- Leadership – You lead your team and provide regular direction, guidance, coaching, and motivation, all while striving for peak performance. You assist them in overcoming obstacles through additional resources, removal of roadblocks, and providing the level of support required for their success. You delegate and deliver feedback based on the in-depth understanding of your individual team members
- Lead the enterprise roadmap for data science, advanced analytics, and AI-enabled capabilities—from discovery through production scale
- Establish research, experimentation, and measurement standards (hypothesis framing, A/B tests and bandits where appropriate, evaluation, and impact measurement)
- Lead and coach multidisciplinary teams to drive discovery, prioritization, adoption, and lifecycle management
- Partner with engineering and architecture to deliver reusable, production-grade patterns on Databricks across Azure and/or AWS (pipelines, scoring/services integration, reliability, monitoring)
- Drive build / buy / partner / hybrid decisions and structure external engagements with clear outcomes and knowledge transfer
- Embed responsible AI and governance by design—privacy, security, compliance, documentation, and audit-ready delivery—plus ongoing monitoring and lifecycle management (performance, drift, stability, and guardrails).
- Lead, develop, and grow a high-performing team and culture grounded in rigor, collaboration, and measurable impact
- Graduate degree in Business Analytics, Data Science, Computer Science, Statistics, Engineering, or a related STEM field (or equivalent combination of education and experience)
- Relevant certifications in AI/ML, cloud, data engineering, or product leadership (preferred), or equivalent advanced accredited training
- Scrum / Agile certification is an asset (CSM, PSM I/II, SAFe Agilist, or equivalent)
- 10+ years of experience in data science, analytics, and applied AI delivering measurable business outcomes
- 5+ years of experience leading and scaling data science and analytics teams
- Proven experience taking work from research/insight through to production-grade solutions with adoption and performance ownership
- Experience leading cross-functional delivery with business and functional partners, including executive stakeholder management
- Experience delivering AI solutions in regulated, high-trust environments (privacy, security, compliance, audit expectations)
- Strong grounding in experimentation and evaluation (A/B testing, bandits where appropriate, uplift measurement, guardrails) and model validation/monitoring
- Strong product-oriented mindset; ability to translate insights into AI-enabled capabilities people adopt
- Experience with or strong interest in learning GenAI / LLM solutions (e.g., RAG, copilots/agentic), including LLM evaluation and LLMOps concepts (versioning, monitoring, operational ownership)
- Expert proficiency with Python and/or R and modern ML frameworks (TensorFlow, PyTorch, scikit-learn; familiarity with Keras or mLlib is an asset)
- Strong experience with large-scale data processing and modern data platforms, including Databricks
- Experience delivering in cloud environments such as Azure and/or AWS
- Strong ability to partner with engineering/architecture on production-grade delivery (APIs/services integration, CI/CD/ML alignment, reliability, monitoring)
- Advanced data storytelling and visualization experience; strong BI tool fluency (Power BI/Tableau) and ability to coach standards
- Ability to explain complex technical concepts and analyses to non-technical audiences and influence decisions with clarity and credibility
- Comfort with ambiguity and evolving priorities; ability to lead teams while aligning across business and functional partners
- Fluent communication skills in English are required and bilingual skills in French are an asset
Here are a few things that set us apart:
- Competitive compensation package that rewards and recognizes individual contributions
- Excellent health, dental and insurance benefits to meet the diverse needs of our employees
- Generous vacation time, fitness benefit, parental leave top-up options
- Matching contributions to our retirement program
- Commitment to the continuous improvement of our staff through learning & development and an education assistance program
- Regular social events to foster teamwork
We are sorry but this recruiter does not accept applications from abroad.