Silicon Labs

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more at www.silabs.com.

Director of Data Analytics at Silicon Labs, who will lead the strategy, governance, and execution of data and analytics initiatives across the enterprise. Reporting to the Chief Information Officer, they will oversee a global team, deliver trusted insights, and support both strategic and day-to-day reporting needs for Sales, Operations, Finance, and other key functions. Their leadership will ensure data quality, integrity, and enable data-driven decision-making at all levels of the organization. The expectation from this role is to come up with the Data strategy for AI readiness with the ROI in mind.

Meet The Team

Our global Data Analytics team is a high-impact group embedded within the IT organization at Silicon Labs and drives the data strategy across the company. Spanning locations across North America, Europe, and Asia, the team partners cross-functionally with Sales, Marketing, Operations, Finance, Engineering, and HR to deliver trusted, actionable insights. From real-time dashboards to long-term data governance, we enable data-informed decisions that drive business success. We’re a collaborative, technically skilled team that thrives on solving complex data challenges using tools like Azure, SQL, Tableau, and Python—while fostering a culture of mentorship, innovation, and continuous improvement.

Responsibilities:

Lead & Shape Strategy

• Define and execute the global data analytics strategy for Silicon Labs, driving alignment with overall business goals of becoming the undisputed leader in wireless technology by enabling revenue improvements and helping drive the operational improvements with data insights.
• Build, mentor, and grow a high-performing team of data analysts, data engineers, and BI developers.
• Promote a strong data-driven culture that empowers teams across IT and the broader organization.

Drive Data Architecture & Governance

• Oversee the design and management of scalable, secure data architectures and pipelines—both cloud-based and on-premises.
• Implement and enforce best practices for data governance, privacy, and quality to ensure trusted, compliant data.
• Own the audit demands of ISO and SoX on the data side.
• Own and optimize enterprise data warehousing, reporting platforms, and analytics tools.

Deliver Business Intelligence & Advanced Analytics

• Lead the delivery of comprehensive BI solutions, including operational, financial, and executive dashboards.
• Enable cutting-edge analytics initiatives such as predictive modeling, machine learning, and self-service analytics.
• Collaborate with business partners to transform strategic objectives into clear, actionable insights.

Manage Programs & Ensure Impact

• Drive multiple analytics projects simultaneously, ensuring on-time delivery with measurable outcomes.
• Work cross-functionally to prioritize analytics use cases based on business value and ROI.
• Ensure analytics platforms and solutions are highly available, scalable, and performant.

Skills you will need:

• Proven experience with cloud data platforms such as Azure, AWS, or GCP, including expertise in data lakes and enterprise data warehouses.
• Experience in building the data lake house platform with technologies like Data Bricks or snowflake etc.
• Hands on experience in guiding the team in coming up with the architecture that prepares data for future for AI/ML and do it agile and iterative.
• Strong proficiency in tools and technologies including Power BI, Tableau, Snowflake, SQL, Python, and modern ETL frameworks.
• Demonstrated success leading data transformation programs in mid- to large-scale, global organizations.
• Strong stakeholder and business alignment on data strategy and objectives.
• Ability to manage globally distributed and multi culture teams.
• Ability to manage Data & Analytics budgets/costs.
• Ability to design and partner with infrastructure leader in setting up the MCP (Model Context Protocol) systems in place.
• Ability to approach data and systems from an enterprise architecture perspective, ensuring alignment with overall business strategy.
• Experience in semiconductor, IoT, or high-tech industries is highly desirable.

Education and/or Experience:

• 18+ years of experience in data functions, with at least 8 years in a leadership role focused on data analytics or business intelligence.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
• MBA or equivalent business training is a plus.

Benefits & Perks

You can look forward to the following benefits:

• Great medical (Choice of PPO or Consumer Driven Health Plan with HSA), dental and vision plans
• Highly competitive salary
• 401k plan with match and Roth plan option
• Equity rewards (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Life/AD&D and disability coverage
• Flexible spending accounts
• Adoption assistance
• Back-Up childcare
• Additional benefit options (Commuter benefits, Legal benefits, Pet insurance)
• Flexible PTO schedule
• 3 paid volunteer days per year
• Charitable contribution match
• Tuition reimbursement
• Free downtown parking
• Onsite gym
• Monthly wellness offerings
• Free snacks

The annualized base pay range for this role is expected to be between $165,900 - $308,100 USD. Actual base pay could vary based on factors including but not limited to experience, geographic location where work will be performed and applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus, equity package and a comprehensive benefits package.

Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.