Associate Director, AMR Manufacturing Data Product Management & Insights

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.

We are seeking a dynamic and experienced Data Product Management & Insights Leader to join our Global Operations Analytics organization. This role will be pivotal in driving data-driven decision-making and insights across Americas manufacturing organizations. The ideal candidate will have a strong background in data product management, analytics, and insights, equipment manufacturing processes with a proven history of leading cross-functional teams and delivering impactful data solutions.

Position Responsibilities:

• Strategic Leadership: Develop and execute data product strategies that align with the goals of the AMR Manufacturing value streams. Provide leadership to drive the adoption of data-driven practices and foster a culture of innovation and excellence.

• Collaboration: Work closely with cross-functional teams (San Diego, Madison, Hayward Manufacturing) to identify data and business workflow solution needs, gather requirements, and deliver actionable insights. Collaborate with stakeholders to ensure data solutions meet business objectives and drive operational improvements.

• Data Product Management: Conduct stakeholder interviews and voice of customers to define analytics vision, roadmap, features, user stories. Conduct PI planning and agile ceremonies as applicable across data product deliveries.

• Insights Generation: Lead the development of advanced analytics models and tools to generate insights that support decision-making across manufacturing.

• Team Leadership: Provide leadership and mentorship to a team of data and process engineering professionals, fostering a collaborative and high-performing work environment. Encourage continuous learning and professional development within the team.

• Continuous Improvement: Drive continuous improvement initiatives to enhance processes, reporting capabilities, and overall data maturity within the organization. Identify opportunities for automation and optimization of data workflows.

• Stakeholder Engagement: Engage with senior leadership and key stakeholders to communicate data insights, trends, and recommendations. Present findings in a clear and compelling manner to drive strategic decision-making. Lead monthly steering committee meetings and quarterly business updates to stakeholders.

The listed responsibilities are an essential but not exhaustive list of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Preferred Experience/Education/Skills:

• Education: Advanced degree in a related field (e.g., Data Science, Computer Science, Engineering, Business Analytics) is preferred.

• Experience: 10+ years of proven experience in data product management, analytics, and insights, with a strong understanding of consumable/instrument manufacturing functions. Life sciences/manufacturing industry experience is a plus. Strong project management skills, with experience in defining project scope, objectives, and deliverables, developing project plans, and managing project budgets and resources.

• Leadership: Demonstrated influential leadership skills with the ability to lead and inspire cross-functional teams. Proven track record of developing predictive insights solutions for inventory, procurement, logistics and planning leveraging SAP, LIMS, Equipment, SCADA, or other related technology stack.

• Technical Skills: Proficiency in data analytics tools and technologies, such as SQL, Python, R, Tableau, Power Bi, and cloud data warehousing solutions (snowflake/databricks/aws). Experience in delivering data as a product leveraging data product management tools like Jira and Confluence. Strong understanding of big data architecture, data governance, data quality, and data security principles. Experience with IIOT, SAP S4 Hana, SAP Analytics Cloud, Machine Learning, AI, Gen AI are a plus.

• Communication: Excell