Principal, Life Sciences Commercial Strategy at Jobgether — NeverHard

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal, Life Sciences Commercial Strategy in Canada. This is a senior, high-impact client-facing and technical leadership role at the intersection of life sciences commercial strategy, data science, and enterprise solution architecture. You will act as a trusted advisor to pharmaceutical executives while also engaging deeply with technical stakeholders to design scalable, data-driven commercial intelligence solutions. The role is central to transforming how life sciences organizations leverage AI-powered insights to optimize engagement, improve prescribing outcomes, and accelerate patient access to therapies. You will bridge business strategy and technical execution, ensuring solutions are both commercially meaningful and architecturally sound. Operating within strategic client engagements, you will lead discovery, shape solution design, and ensure alignment between customer needs and platform capabilities. This position requires a blend of executive presence, technical fluency, and consultative leadership in a fast-moving, innovation-driven environment. You will also play a key role in translating complex data ecosystems into actionable commercial outcomes that drive measurable ROI. Accountabilities: Lead strategic solution architecture for enterprise life sciences clients, translating complex commercial challenges into scalable “data-to-insight” solutions Own technical discovery, validation, and feasibility assessment, ensuring solutions align with platform capabilities and avoid unnecessary customization Partner with sales and client teams to drive technical wins and ensure proposed solutions deliver measurable commercial ROI Develop and deliver high-impact technical demonstrations, proof-of-concepts, and executive-level presentations Act as a trusted advisor to pharmaceutical commercial leaders, bridging strategic objectives with technical execution realities Create architectural frameworks, data flow models, and best-practice materials to support client adoption and platform success Identify technical risks early and design mitigation strategies to ensure successful implementation and value realization Provide structured feedback to product and engineering teams to influence roadmap and improve solution scalability and performance Support knowledge transfer, education, and mentorship for both clients and internal stakeholders on technical methodologies Requirements: 10+ years of experience in life sciences commercial operations, analytics, or related pharma technology environments Strong background in solution architecture, data science, technical consulting, or sales engineering roles Deep understanding of pharmaceutical commercial data ecosystems, including claims data, HCP engagement, omnichannel strategy, and CRM platforms (e.g., Veeva, Salesforce) Proficiency in SQL and Python with the ability to analyze, validate, and manipulate complex datasets Experience designing data architectures, integration patterns, and scalable analytics solutions Proven ability to engage and influence senior pharmaceutical and enterprise stakeholders Strong executive communication skills with the ability to translate technical concepts into clear business value Experience creating technical documentation, frameworks, and client-facing solution materials Hands-on mindset with comfort operating across strategy, design, and technical execution layers Familiarity with AI-driven workflows and modern automation tools is highly valued Benefits: Competitive base salary ranging from $190,000 – $275,000 USD depending on experience and expertise Equity participation through meaningful stock option grants Comprehensive health, dental, and vision insurance coverage from day one Flexible remote-first work environment across Canada and the U.S. Flexible time-off policies supporting work-life balance Exposure to cutting-edge AI-native tools and advanced life sciences technology Travel opportunities across North America for client engagement and industry events Collaborative, innovation-driven culture with strong emphasis on ownership and impact. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.