Sr Manager, Data Engineering

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Position Overview:

We are seeking an experienced Senior Manager with 15+ years of expertise to lead and strategically guide our software and data engineering teams. In this senior leadership role, you will oversee the delivery of cutting-edge software and data engineering projects that support global operations, including supply chain, manufacturing, and R&D functions. The ideal candidate will be providing visionary leadership, building, and managing large teams, and fostering a culture of innovation, collaboration, and continuous improvement.

Position Responsibilities:

• Lead, manage and expand large, diverse teams of data engineers, and data operations engineers to deliver high-impact data engineering solutions that drive business outcomes.
• Strategically grow the team by recruiting, developing, and retaining talent that matches the high-caliber level ensuring that the team scales while maintaining top-tier performance.
• Define and implement a long-term strategic roadmap for data and engineering functions, ensuring alignment with overall business objectives.
• Collaborate closely with cross-functional teams, including business analysts, operations, IT, and business stakeholders, to understand requirements and across multiple functions (e.g., Supply Chain, Quality, Manufacturing, R&D, IT) to define project priorities, drive consensus, and ensure that engineering efforts support organizational goals.
• Lead and oversee complex, high-value projects with a focus on scaling data engineering and operations capabilities and improving operational efficiency across data platform.
• Develop, implement, and optimize processes for project planning, scheduling, resource allocation, and performance monitoring, ensuring alignment with best practices in engineering and data management.
• Oversee the design, development, and deployment of data solutions, ensuring that they meet the highest standards for performance, scalability, and security.
• Drive continuous improvement initiatives by staying abreast of emerging technologies and methodologies in software and data engineering, and proactively introducing innovations to enhance the team's capabilities.
• Manage relationships with external vendors, partners, and service providers, ensuring timely delivery of contracted services and solutions.
• Monitor project risks, issues, and dependencies, proactively identifying and mitigating risks to minimize project disruptions and delays.
• Provide regular project status updates, reports, and metrics to senior leadership, highlighting key achievements, milestones, and areas for improvement.

Preferred Experience/Education/Skills:

• Bachelor’s degree in computer science, Engineering, or related field; a master’s degree or MBA is highly preferred.
• 15+ years of experience leading large-scale software and data engineering teams within a global, matrixed organization. Experience in life sciences, healthcare, or a regulated industry is preferred.
• Deep domain expertise in global operations, supply chain, manufacturing, and R&D processes within the life sciences sector, including a strong understanding of industry-specific challenges, regulatory environments, and data compliance requirements.
• Proven track record of delivering complex engineering projects on time and within budget, particularly those supporting global operations (e.g., manufacturing, supply chain).
• Experience leading multi-disciplinary teams across various geographic locations, with a focus on team development, scaling operations, and driving strategic outcomes.
• Advanced knowledge of architecture, big data frameworks (e.g., Apache Spark, Hadoop), and cloud-based data platforms (e.g., Snowflake, AWS, Azure).
• Strong understanding of modern data engineering development methodologies, including Agile, DevOps, and microservices architectures, with experience optimizing engineering workflows and processes.
• Excellent leadership, communication, and interpersonal skills, with the ability to influence senior executives and guide teams through complex challenges.
• Experienced in project management tools such as JIRA, Confluence and Certifications such as PMP, Agile, or equivalent is highly desired.

Technical skills:

• Platforms - Snowflake/Data Bricks, AWS etc.
• Engineering – dBT, Spark, Data Bricks, Python,KAfka etc.
• Data/DevOps – GitHub Action, Git, Jira, Confluence, Splunk, Airflow, Control-M, DataDog etc.
• Analytics – PowerB.I, Tableau etc.
• AI/ML/GenAI Platform awareness

Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.