Lead Data Implementation Engineer

Lead Data Implementation Engineer

ODAIA noun o
· da·ia | 'oh-day-yeah
An Ancient Greek word referring to “tools of the trade.”
To learn more visit odaia.ai.

ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's SaaS platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster.

ODAIAns (what we call ourselves) are inspired to reinvent how the industry leverages data. We are passionate about solving complex commercial problems with human‑centric AI solutions, ensuring that simplicity and sophistication are scalable for every user.

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human‑centric software powered by AI.

As a Lead Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation point within the team. You will partner closely with Business Acceleration, Engineering, and Product to design scalable data solutions and ensure successful delivery for strategic customers. This role is ideal for someone who is deeply hands‑on, technically strong, and comfortable leading complex integrations while mentoring more junior engineers.

Please include a cover letter with your application outlining your relevant experience and interest in this role. You can describe a project you’ve worked on that relates to one of the “What you bring” or “What you will do” points, and share how you’d expand on it here at ODAIA.

• Lead complex, multi‑system implementations for enterprise customers
• Serve as an escalation point for implementation or customer data challenges
• Partner with Product, Engineering, and Customer Success on roadmap priorities
• Establish implementation playbooks, documentation practices, tooling standards, and quality benchmarks
• Help shape and refine the technical delivery strategy for the team
• Drive automation and scalability across onboarding and ingestion
• Coach and develop Senior and Intermediate Implementation Engineers
• Represent ODAIA as a technical leader in customer‑facing forums
• Evaluate new technologies and platforms to improve delivery performance

• 8+ years of experience in data engineering, integrations, or platform implementations
• Strong proficiency in programming (e.g., Python, SQL), database management, and cloud platforms (e.g., AWS)
• Strong background in distributed systems and cloud‑native architectures
• Proven experience leading technical teams or functions
• Excellent communication and stakeholder management; comfortable driving clarity and alignment across professional services and technical teams
• Deep understanding of data security, compliance, and governance
• Life sciences / pharma domain experience highly preferred
• Track record of building scalable implementation frameworks at a start‑up or rapid‑growth technology company

• A strong, passionate, values based culture, we Ignite Innovation, Own It and Stand Together
• Meaningful stock option grants
• Medical & dental benefits with immediate enrollment for full‑time, permanent employees
• Flexible time‑off
• Remote first, WFH flexibility with intentional, high‑value in‑person collaboration sessions, team meetings and socials

ODAIA is a remote first organization, with employees located across Canada and the U.S. Our primary office hub is located in central downtown Toronto and walking distance from Union Station.

Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.

ODAIA does not use artificial intelligence (AI) to review applications, filter or analyze resumes. Our recruitment team may use an AI‑powered meeting…