Sr. Technical Product Manager (Data Platform & BI) at Illumina

San Diego, California, United States

Illumina Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Genomics, HealthcareIndustries

Requirements

  • Proven experience in Product Management, Data Analysis, or a hybrid data-focused role
  • Deep understanding of business operations and metrics
  • Hands-on expertise in Power BI and/or Tableau (dashboard creation, data modeling, performance optimization)
  • Proficiency in SQL for data querying and transformation
  • Working knowledge of Python for data processing
  • Hands-on experience in data analysis, BI reporting, and data engineering
  • Ability to bridge the gap between business strategy and technical implementation
  • Strategic, business-minded with strong data and analytics capabilities

Responsibilities

  • Drive data product strategy by understanding business objectives and identifying opportunities to improve decision-making through analytics and automation
  • Research best practices, perform prioritization of efforts, and proactively identify opportunities for consolidation, retirement, or new development
  • Understand and articulate ROI and business value for each initiative
  • Understand and define the “why” and “what” — focusing on customer experience, user expectations, business outcomes, and organizational productivity
  • Collaborate with stakeholders across business and technical teams to define requirements, prioritize projects, and deliver measurable outcomes
  • Identify key stakeholders, align expectations, develop engagement plans, and maintain ongoing relationships to ensure product success
  • Apply strong product thinking to solution design, UI/UX, MVP definition, and user story creation
  • Translate business questions into analytical or functional solutions and communicate results clearly to both technical and non-technical audiences
  • Lead and coordinate timeline, tasks, resources, milestones, scope, and risk assessments
  • Align product initiatives with broader enterprise efforts (e.g., EDM, ERP, and other strategic programs)
  • Serve as a liaison to development teams to convey clear business and technical requirements
  • Collaborate with global, cross-functional teams (US/IN/SG) spanning Software Engineering, Data Engineering, BI, AI, and Automation disciplines
  • Oversee User Acceptance Testing (UAT), functional validation, and launch coordination
  • Manage documentation, training, change management, and post-launch support to ensure adoption and sustained performance
  • Develop and maintain BI dashboards and reports using Power BI and Tableau, ensuring data is accurate, insightful, and actionable
  • Perform hands-on data work in data engineering, including querying, transforming, and validating datasets using SQL and Python
  • Promote data quality, governance, and analytics best practices

Skills

Key technologies and capabilities for this role

Product ManagementData AnalysisBI ReportingData EngineeringAIAutomationBusiness IntelligenceSoftware DevelopmentROI AnalysisRequirement Management

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Sr. Technical Product Manager role?

The role requires hands-on experience in data analysis, BI reporting, and data engineering, along with strong data and analytics capabilities, product thinking, and the ability to bridge business strategy and technical implementation.

What is the company culture like at Illumina?

Illumina fosters a culture where every person has the opportunity to make a difference, surrounded by extraordinary people, inspiring leaders, and world-changing projects that enable life-changing discoveries in human health.

What makes a strong candidate for this product manager position?

A strong candidate is strategic and business-minded with strong data and analytics capabilities, hands-on experience in data analysis, BI reporting, and data engineering, and the ability to think critically, challenge assumptions, and deliver data-driven solutions.

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters
1998Year Founded
$27.2MTotal Funding
IPOCompany Stage
Venture Capital, BiotechnologyIndustries
5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.
Standardizing proteomics data across platforms could challenge Illumina's data reliability.
Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.
The company offers innovative array-based solutions for DNA, RNA, and protein analysis.
Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.
Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.
Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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