SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud’s premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

YOUR MISSION

As Pod Lead, you will lead a growing team of Machine Learning Engineers, Data Scientists, and engineers owning technical direction, delivery quality, and commercial outcomes across your accounts.

As the Pod Lead, you will play a crucial role in ensuring the successful delivery of innovative solutions, fostering a collaborative and high-performance team environment, and driving the technical direction of projects.

This is an excellent opportunity for someone who thrives in a dynamic, fast-paced setting and is eager to contribute to the success of both the team and the organization.

WHAT YOU’LL DO

TEAM LEADERSHIP:

– Lead, mentor, and grow a pod of MLEs and data scientists — including hiring, development planning, and performance management.

– Own retention, utilization and engagement on your pod: flag risks early, drive certifications and career growth, and foster a high-trust team culture.

–

– Foster a positive, inclusive, and innovative team culture that promotes collaboration and knowledge-sharing.

DELIVERY & COMMERCIAL LEADERSHIP:

– Own delivery quality, timelines, and utilization across your pod’s engagements, partnering with Delivery Managers/Delivery Leads on scope, staffing, and risk.

– Protect scope discipline: surface scope creep as expansion opportunities rather than absorbing it silently.

– Drive account depth: bring expansion ideas proactively and maintain a forward view of where each strategic account can grow

CLIENT LEADERSHIP:

– Build and maintain strong, trusted relationships with clients, gaining a deep understanding of their business objectives and challenges.

– Communicate complex technical concepts clearly and effectively to both technical and non-technical client stakeholders.

– Present project findings, insights, and actionable recommendations in a compelling and client-friendly manner, ensuring alignment with their goals.

TECHNICAL LEADERSHIP:

– Partner on pre-sales as a subject matter expert: solution design, SOW scoping, and effort estimation on new and expansion opportunities.

– Collaborate with fellow technical leads and subject matter experts to architect innovative solutions tailored to client needs.

– Set and uphold technical standards across the pod: code quality, architecture reviews, and ways of working.

– Contribute to practice-wide initiatives: methodologies, accelerators, and capability development.

– Stay current on the AI and data landscape and bring relevant developments back to the team and our clients.

WHAT YOU’LL BRING

– Leadership and Management: Demonstrated leadership and management experience of technical employees.

– Experience: 7+ years in machine learning, data science, or applied AI, with at least 2 years leading technical teams or projects end-to-end.

– Problem-Solving: Strong problem-solving and analytical skills.

– Team Leadership: Proven experience leading and mentoring teams of data scientists and machine learning engineers.

– Commercial Awareness: Comfort operating at the intersection of delivery, pre-sales, and account growth — with a track record of expanding client relationships, not just delivering against a statement of work.

– Communication Skills: Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

– Technical Skills: Strong engineering foundations across the modern AI stack — classical ML (TensorFlow, PyTorch, scikit-learn), GenAI and LLM-based systems (RAG, agentic architectures, foundation model fine-tuning), and production ML on Google Cloud (Vertex AI, BigQuery ML). Depth sufficient to architect solutions, review team output, and lead credible technical conversations with clients, not necessarily daily hands-on coding.

– Passion: Passion for data and a desire to solve real-world problems using machine learning.

WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

– 20 days of paid vacation per calendar year

– Public Holidays for your Province of Residence

– 5 Wellness days (sickness, personal time, mental health)

– 5 Lifestyle days (religious events, volunteer day, sick day)

– Matching Group Retirement Savings Plan after 3 months

– Competitive Group Insurance plan on Day 1 – individual premium paid 100%!

– Virtual Medicine and Family Assistance Program – 100% employer-paid!

– Home office budget – We are 100% remote!

– CAD $70/month for internet/phone expenses

– Company-supplied MacBook Pro or A