Manager, Applied AI/ML, Data Science & Engineering in Canada Creek, Nova Scotia at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Applied AI/ML, Data Science & Engineering based in Canada.
This leadership role sits at the center of a rapidly evolving applied AI organization, guiding teams that build and scale AI/ML-driven systems, data products, and modern engineering platforms.
You will lead senior and principal-level engineers and data scientists working across complex, distributed environments where AI is reshaping how software and data solutions are designed and delivered.
The role blends people leadership, technical strategy, and operational design in a space where processes and best practices are still being defined.
You will help shape how applied AI work is executed—bringing clarity to ambiguity while enabling high-performing technical contributors to operate at their best.
Operating across global time zones, you will foster alignment, trust, and execution across teams in North America, Europe, and India.
You will play a key role in evolving engineering standards, delivery models, and AI/ML evaluation practices in a fast-moving environment.
This is a high-impact opportunity for a leader who thrives in change and enjoys building structure without slowing innovation.
- Lead, mentor, and grow a distributed team of senior and principal engineers and data scientists working on applied AI/ML systems, data platforms, and engineering infrastructure.
- Define clarity in ambiguous environments by establishing priorities, execution plans, success criteria, and decision-making frameworks.
- Build and optimize operating rhythms across global teams, including asynchronous communication practices, documentation standards, and cross-time-zone collaboration models.
- Partner with technical leads and ICs to translate strategic goals into scoped initiatives, milestones, and measurable outcomes.
- Guide the evolution of AI/ML engineering practices, including prototyping, evaluation frameworks, production readiness, governance, and quality standards.
- Drive continuous improvement in delivery processes while adapting traditional engineering models to AI-driven workflows.
- Support cross-functional collaboration across product, engineering, data science, infrastructure, QA, and business stakeholders.
- Coach team members in communication, prioritization, technical judgment, stakeholder management, and distributed execution.
- Identify and resolve risks, dependencies, and bottlenecks early to maintain execution momentum and delivery quality.
- Foster a culture of curiosity, accountability, psychological safety, and technical excellence.
- Balance delivery expectations with sustainable team health, ensuring high performance without burnout.
- Recruit, onboard, and develop strong generalist technical talent across AI/ML, data systems, and platform engineering domains.
- 7+ years of experience in engineering leadership, applied AI/ML, data science, or data platform environments.
- Proven ability to manage and mentor senior and principal-level technical contributors.
- Strong technical foundation in modern software engineering, data systems, and AI/ML development practices.
- Experience working in environments where processes, standards, and workflows are evolving or being redefined.
- Deep curiosity about AI-driven transformation of engineering practices and delivery models.
- Strong cross-functional leadership experience across engineering, product, infrastructure, QA, and business teams.
- Excellent written communication skills, including documentation, planning, and stakeholder updates in distributed environments.
- Strong verbal communication skills, including facilitation, conflict resolution, and executive engagement.
- Experience working with globally distributed teams across North America, Europe, and India.
- Strong execution and program management skills, including prioritization, dependency tracking, and risk management.
- Generalist mindset with willingness to engage across DevOps, cloud infrastructure, data platforms, and delivery systems.
- Ability to empower strong ICs without micromanagement while maintaining alignment and accountability.
- Competitive compensation package including base salary, bonuses, and equity/stock grants (Canada-based range typically $158,000–$231,000).
- Comprehensive health benefits including medical, dental, and vision coverage.
- Flexible work arrangements with remote and hybrid options across Canada.
- Long-term career growth in a global technology organization focused on AI and innovation.
- Opportunity to shape emerging AI/ML engineering practices and influence next-generation development standards.
- Access to strong learning programs, leadership development, and technical upskilling resources.
- Inclusive, collaborative culture emphasizing belonging, innovation, and continuous improvement.