Jobs / Canada / Astrazeneca Pharmaceuticals Lp
Associate Director, Automation & Innovation
Astrazeneca Pharmaceuticals Lp · 🇨🇦 Canada - Mississauga
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Astrazeneca Pharmaceuticals Lp
No government sponsor record covers this employer in this country.
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About the role
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation – ultimately providing employees with the opportunity to work across teams, functions and even the globe. Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects. Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention. Are you ready to harness AI to reshape how a portfolio of life-changing medicines is delivered to patients? Do you see yourself translating the latest advances in AI, machine learning and NLP into decisions that accelerate development and sharpen our strategic focus across a global R&D portfolio? In this role, you will set direction and drive adoption of enterprise AI initiatives that unlock value in project and portfolio management, decision support, capacity planning and governance. You will join a high-performing team that connects data, processes and technology to reveal new insights, reduce cycle times and improve the way critical portfolio decisions are made—always with patient impact in mind. Working alongside product, data, IT, compliance and business leaders, you will move from pilots to scaled capabilities that are ethical, secure and compliant, ensuring AI becomes a trusted, measurable accelerator for our pipeline and operations. Accountabilities: • AI Strategy Leader ship: Define and communicate an actionable AI strategy aligned to business objectives, setting clear priorities and success measures across portfolio, functional and tactical levels. • Opportunity Discovery : Identify high-impact AI use cases in project management, portfolio analytics and decision support, capacity management and governance, translating pain points into solution roadmaps. • Roadmap and Delivery : Lead design, pilots and scaled deployments of AI solutions; sequence investments, manage risks and ensure delivery excellence from proof of concept to enterprise adoption. • Value Realization and KPIs : Establish metrics, dashboards and review cadences to track performance, adoption and ROI; course-correct to maximize impact on cycle time, quality and decision speed. • Responsible AI and Compliance : Embed privacy, security, ethics and regulatory requirements in solution design and operations; ensure alignment with standards such as GDPR, HIPAA and EMA guidance. • Partnership Building : Orchestrate cross-functional collaboration with IT, data science, business units, legal and compliance; manage external relationships with vendors, academia and industry consortia. • Change Leadership and Adoption : Champion innovation and knowledge sharing; enable training, communications and change management that build trust and scale new ways of working. • Modern Data and Architecture : Guide choices on data pipelines, model lifecycle management and governance to ensure solutions are robust, reusable and resilient. • External Representation : Stay ahead of industry trends; represent the organization in forums and communities to bring back insights and influence best practice. • Prog