Lead, Data Engineering, DataX

Astellas Canada - Lead, Data Engineering, DataX

At Astellas, we strive to become a cutting-edge, value-driven life science innovator. This means working at the forefront of healthcare change to turn innovative science into VALUE for patients.

What sets us apart is our focus on patients, our pioneering innovation, our collaborative culture, and the passion of our talented people.

Making a positive impact on patients' lives is the purpose behind everything we do. At Astellas, we are relentless in our pursuit of scientific progress and in tackling unmet medical needs, demonstrated by our legacy in oncology, overactive bladder and transplant and our impressive pipeline in women's health, blindness and regeneration, genetic regulation, immuno-oncology, mitochondria and targeted protein degradation.

About Us:

We are a global pharmaceutical company headquartered in Japan, with a team of more than 14,000 managing operations in approximately 70 countries around the world. We are in the Top 30 global biopharma company based on global revenues and are predicted to be one of the Top 10 Cancer Drug Makers of 2024 by Fierce Pharma.

In Canada, we are growing to meet the exciting opportunities realized by our legacy brands and rich pipeline of innovative treatments.

We are looking for candidates who will thrive in our entrepreneurial and empowering environment where talent and leadership flourish. Do your values align with our Astellas Way - patient focus, ownership, results, openness and integrity? Then we would love to hear from you.

From the first day in role, everyone at Astellas has a responsibility for creating a brighter future for patients around the world. We nurture exceptional relationships with our employees to allow them to thrive, foster innovation, and deliver exceptional business results. We work to create a culture where our people feel empowered to pursue brave ideas and ambitious outcomes, to have the confidence to be accountable for a higher standard of performance and embody a competitive and solutions-oriented mindset.

Our expertise, science and technology make us a pharma company. Our open and diverse culture is what makes us uniquely Astellas.

Astellas Pharma Canada (APCA) is currently searching for a Lead, Data Engineering reporting to Head of DigitalX, DataX.

Description

The Data Engineering Chapter Lead is responsible for leading the data engineering chapter, focusing on the development, optimization, and maintenance of data architecture and pipelines that support analytical and operational capabilities. This leader will ensure that data engineering initiatives align with the strategic business objectives and operate seamlessly within the agile model, collaborating with various value teams, chapters, and Hubs.

Responsibilities and Accountabilities:

• Team Leadership: Mentor data engineers to enhance professional growth and ensure high-quality data infrastructure development.

• Technical Expertise: Provide strategic guidance on complex data systems, optimizing data pipelines and databases for performance and scalability.

• Collaboration: Coordinate with IT and business units to align data engineering projects with organizational needs and data governance standards.

• Best Practices: Implement DataOps and other modern methodologies to improve the reliability and security of data solutions.

• Recruitment and Onboarding: Oversee recruitment and ensure effective onboarding of data engineers to maintain technical standards.

• Performance Management: Conduct performance evaluations and support data engineers in career development and skill enhancement.

Required Qualifications

• At least 5 years of experience in data engineering with a minimum of 3 years in a leadership role managing data-focused teams within an agile environment.

• Strong background in data architecture, database design, ETL processes, and big data technologies, with hands-on experience in SQL, NoSQL, and cloud-based data solutions.

• Demonstrated ability to lead, inspire, and develop a team, with strong project management and organizational skills.

• Excellent communication skills with the ability to interact effectively with all levels of the organization and across multiple disciplines.

Preferred Qualifications

• Master's degree or higher in Computer Science, Engineering, or a related field.

• Proven track record of innovative thinking and ability to adapt to new technologies and data methodologies.

• Advanced analytical and problem-solving skills, with the ability to derive insights that influence business decisions.

• Experience incorporating AI and machine learning into data strategies to enhance analytical capabilities and business insights.

Working Environment

At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.

Additional Information

Astellas Pharma Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the hiring process.

Astellas Pharma Canada requires full Vaccination against COVID-19 as a condition of employment. Reasonable accommodation to this policy may be granted for a valid accommodation request under human rights legislation.

No telephone inquiries, in-person applications, or agencies please. While we appreciate all applications, only candidates under consideration will be contacted.

Category DataX

Astellas is committed to equality of opportunity in all aspects of employment.

EOE including Disability/Protected Veterans