Associate Director, Global Operations Data Product Management & Insights
US - California - San Diego - HQ, United States
Full Time Mid-level / Intermediate USD 152K - 228K
Illumina
Illumina sequencing and array technologies drive advances in life science research, translational and consumer genomics, and molecular diagnostics.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 various functions, including supply chain, procurement, quality, product life cycle management, operational excellence, facility, and safety. The ideal candidate will have a strong background in data product management, analytics, and insights, with a proven track record 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 Global Operations functions. 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 (process excellence, IT, ERP systems, data engineering, PMO) to identify data 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 customer to define analytics vision, roadmap, features, user stories. Coduct PI planning and agile cerimonies 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 supply chain, procurement, quality, product life cycle management, operational excellence, facility, and safety functions.
Team Leadership: Provide leadership and mentorship to a team of data 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 data 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.
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 supply chain, procurement and quality 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 ERP/Ariba/IBP and other SAP bolt-on applications.
Technical Skills: Proficiency in data analytics tools and technologies, such as SQL, Python, R, Tableau, PowerBI and cloud data warehousing solutions (snowflake/databricks/aws). Experience in delivering data as a product leveraging data product management tools like Jira, Confluence. Strong understanding of big data architecture, data governance, data quality, and data security principles. Experience with SAP S4 Hana, SAP Analytics Cloud, Machine Learning, AI, Gen AI is a plus.
Communication: Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights. Strong interpersonal skills to effectively collaborate with stakeholders at all levels.
At Illumina, we strive to foster a diverse and inclusive workplace by cultivating an environment in which everyone contributes to our mission. Built on a strong foundation, Illumina has always been rooted in openness, collaboration, and seeking alternative views and perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and demonstrate our collective commitment to diversity and inclusion in the communities we live and work. 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. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.
Tags: Agile Architecture AWS Big Data Business Analytics Computer Science Confluence Data Analytics Databricks Data governance Data quality Data Warehousing Engineering Generative AI Jira Machine Learning Power BI Python R Security Snowflake SQL Tableau
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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