Strategic Analytics and Enablement Lead

Canada - Mississauga

AstraZeneca

AstraZeneca is a global, science-led biopharmaceutical business and our innovative medicines are used by millions of patients worldwide.

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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.

Introduction to role:

Are you ready to make a significant impact in the world of clinical operations? As the Strategic Analytics and Enablement Lead, you'll be at the forefront of transforming data into actionable insights, ensuring that our teams have access to high-quality, well-governed data. Your work will drive informed decision-making and operational efficiency throughout the drug development lifecycle. Are you up for the challenge?

Operational Data Governance: You'll establish and operationalize frameworks for data stewardship, standardization, lineage, and quality control across key data domains. Your leadership will ensure alignment with enterprise standards, industry best practices, and regulatory requirements.

Analytics Project Leadership: Lead impactful analytics initiatives that translate operational data into business insights. Your projects will generate key performance indicators, dashboards, scenario models, and root cause analyses, supporting study teams and clinical operations functions in optimizing trial planning and execution.

By integrating governance with analytics delivery, you'll ensure reliable and traceable data usage, accelerating clinical trial timelines, reducing risk, improving patient access, and enhancing transparency across the portfolio.

Accountability:

1. Data Governance Leadership

  • Drive the design, implementation, and evolution of operational data governance frameworks and policies.
  • Facilitate data domain ownership, stewardship, and accountability across functions (e.g., study startup, feasibility, site selection, recruitment, resource planning).
  • Oversee metadata management, data lineage, and data catalog initiatives for operational data.
  • Partner with IT and data platform teams to define data standards, access controls, and quality rules.

2. Analytics Project Delivery

  • Lead analytics projects that use governed data to generate actionable insights for Clinical Operations leadership.
  • Translate business needs into project charters, scopes, and analytical deliverables.
  • Coordinate data discovery, curation, and dashboard/report design with analytics teams (BI, advanced analytics, data science).
  • Ensure strong documentation and reproducibility of analytics outputs.

3. Stakeholder Engagement & Change Management

  • Act as liaison between business, IT, analytics, and governance groups to ensure alignment.
  • Champion data quality and literacy initiatives to promote a culture of data-driven decision-making.
  • Run working groups, forums, or councils on data governance topics within Clinical Ops.

4. Metrics & Compliance

  • Monitor adoption and adherence to data standards and governance practices.
  • Define and track KPIs to assess governance impact (e.g., data issue resolution times, dashboard accuracy, business adoption rates).

Essential Skills/Experience:

  • Bachelor's or Master’s in Life Sciences, Computer Science, Data Science, or related field.

  • 5+ years in data governance, clinical data analytics, or operational data strategy roles within pharma or biotech.

  • Strong background in clinical development processes and operational systems (e.g., CTMS, eTMF, EDC, Feasibility tools).

  • Proven experience leading cross-functional data or analytics projects.

  • Deep understanding of data governance concepts: stewardship, lineage, quality, ownership, and standards.

  • Strong project management skills (Agile or hybrid approaches).

  • Excellent communication and stakeholder management.

  • Proficiency with data tools (e.g., Collibra, Informatica, Power BI/Tableau, SQL, Python a plus).

Desirable Skills/Experience:

  • Experience with Clinical Operations metrics, KPIs, and performance management.

  • Exposure to FAIR data principles and semantic data layers.

  • Familiarity with regulatory requirements affecting data use in clinical trials.

Great People want to Work with us! Find out why:

Are you interested in working at AZ, apply today!

AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.

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Date Posted

16-Jun-2025

Closing Date

23-Jun-2025

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Computer Science Data Analytics Data governance Data quality Data strategy Informatica KPIs Pharma Power BI Python SQL Tableau

Perks/benefits: Startup environment Transparency

Region: North America
Country: Canada

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