Manager, Data Analytics

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.

• Lead and manage a reporting analysts, AI Engineering, and Analytics engineers team.
• Define project scope, goals, and deliverables in collaboration with stakeholders, ensuring alignment with business goals and objectives.
• Develop and implement project plans, schedules, and budgets, tracking progress and managing resources to ensure successful project delivery.
• Develop and implement advanced analytics strategies, frameworks, best practices to support business goals.
• Oversee reporting systems and dashboards design, development, and maintenance.
• Utilize machine learning techniques to build predictive models and improve processes.
• Provide leadership and guidance to engineering teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Collaborate closely with cross-functional teams, including business analysts, operations, IT, and business stakeholders, to understand requirements and deliver impactful solutions.
• 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.
• Drive continuous improvement in project delivery processes, tools, and methodologies, using industry best practices and lessons learned.
• Provide senior leadership with regular project status updates, reports, and metrics, highlighting key achievements, milestones, and areas for improvement.
• 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.

• Bachelors degree in Computer Science, Engineering, or related field. Advanced degree (e.g., MBA) preferred.
• 10+ years of experience in leading analytics engineering teams supporting a global organizations supply chain or manufacturing functions.
• Strong domain expertise in building insights, dashboards, reports, scorecards, and reporting applications, with a deep understanding of industry-specific challenges, processes, and technologies.
• Strong domain expertise in life sciences, with a deep understanding of industry-specific challenges, processes, and technologies.
• Experience with Agile methodologies, DevOps practices, and project management tools like JIRA, Confluence, or Azure DevOps.
• Deep understanding of data, analytics, AI, and Automation architecture principles, design patterns, and best practices, with experience developing end-to-end business solutions.
• Experience with advanced analytics and automation tools like Tableau, PowerBI, UIPath, Thoughtspot, R/Python, CortexAI, etc.
• Experience with big data processing frameworks like Apache Spark and cloud-based data platforms like Snowflake.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.
• PMP, Agile, or other relevant certifications are a plus.