Director of Data Engineering and Integrations - Evinova
AstraZeneca

Job Info

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About Evinova:

Evinova offers innovative digital health solutions that are based on scientific research, guided by evidence, and passionate about improving human experience. Smart risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we're helping. Launch impactful digital solutions that improve the patient experience and deliver better health outcomes. Together, we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and build new standards across the sector.

About The Role:

The Director of Data Engineering & Integrations is a strategic and technical leadership role responsible for crafting, implementing, and leading the data infrastructure, integrations, and governance necessary to support our company's SaaS products and business objectives. This role will oversee all aspects of data, from data ingress and egress, integration with internal and 3rd party systems, to the development of scalable data pipelines that ensure data quality, consistency, and accessibility across the organization.

In this role, you will lead the design and optimization of data models, pipelines, and storage solutions, ensuring they meet the high performance, security, and compliance standards required in a SaaS environment. You will collaborate closely with product, engineering teams to align data architecture with product and customer needs, enabling data-driven decision-making and powering advanced analytics across the company. Additionally, you will establish and carry out robust data governance policies, ensuring data integrity, privacy, and regulatory compliance.

This role requires a hands-on leader who can develop a team of data engineers, data architects, and analysts, encouraging a culture of innovation and data literacy. The ideal candidate is a guide in data engineering, data integration, and governance, with a proven track record of building and scaling data ecosystems in fast-paced, high-growth SaaS environments.

Typical Accountabilities:

• Define and oversee the organization's data strategy to ensure alignment with our goals.
• Develop and maintain scalable and efficient data models tailored to the company's products.
• Collaborate with product and engineering teams to align data architecture with product design, functionality, and user requirements.
• Lead the design and implementation of scalable, high-performance data pipelines and data infrastructure.
• Build robust data ingestion pipelines to capture, process, and store incoming data from various sources, including customer applications, databases, APIs, and 3rd party data providers.
• Define and implement batch and real-time streaming ingestion, depending on the latency requirements of various data sources.
• Interface directly with customers to facilitate customer acquisition and onboarding.
• Build and manage export pipelines to deliver data to external platforms, partners, and customers.
• Implement data warehousing and advanced data solutions to support analytics, reporting, and machine learning initiatives.
• Lead and optimize data storage, processing, and retrieval to enhance system performance and scalability.
• Establish data governance policies and implement standards to ensure data quality, consistency, and compliance.
• Develop and handle documentation on data definitions, lineage, and usage guidelines to ensure clarity and reliability.
• Ensure compliance with relevant data protection regulations and standards.
• Monitor and handle data quality across all systems, implementing processes and tools to detect and accurate data inconsistencies.
• Develop data validation and cleansing processes to maintain data integrity, completeness, and accuracy.
• Collaborate with engineering teams to craft fault-tolerant and resilient data pipelines.
• Lead all aspects of data analysis efforts to identify trends, patterns, and insights that inform product and business decisions.
• Partner with product and business teams to establish metrics and performance indicators that align with product success and company objectives.
• Build and maintain a centralized repository of metrics and dashboards for accessible, real-time data insights.
• Create and maintain a centralized repository of metrics and dashboards for accessible, real-time data insights.

Essential Requirements:

• Bachelor's Degree
• Minimum 7+ years of experience
• Direct experience leading both data engineering and software engineering teams.
• Experience with leading database technologies and data query languages.
• Experience with data mesh architectures.
• Experience with modern programming languages.
• Deep understanding of data quality and governance.
• Proficiency in designing and building data pipelines, data loading and movement processes, data integration solutions, and endpoints.
• Knowledge of data warehousing concepts and technologies.
• Experience with data modelling and database design.
• Understanding of data platforms and technologies like Hadoop, Spark, and NoSQL databases.
• Ability to work with large datasets and distributed computing frameworks.
• Developing quality, compliance and risk strategies and articulating the strategic direction for regulated organisations at all levels.

In-Office Expectation:

When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The annual base pay (or hourly rate of compensation) for this position ranges from $150,405 to $225,607. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Why Evinova (AstraZeneca)?

Evinova draws on AstraZeneca's deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector.

Interested? Come and join our journey.

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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