Project/Program Design

Renesas Electronics • Chandler, AZ

22h • Hybrid

About The Position

This role focuses on driving data-driven coordination and execution intelligence for IC development across various engineering disciplines, including analog, digital, verification, layout, and validation. The position involves collaboration with Design Controllers, Program Managers, technical project leads, and mixed-signal project teams. A key aspect of the role is supporting technical coordination through planning, reviewing, and action tracking, while also building the foundation for analytics, automation, and AI to scale project management methodologies and power a data-driven Lessons Learned process.

Requirements

• Background in engineering, information systems, data analytics, computer science, or a related quantitative discipline, with an interest in project execution and program management.
• BS or MS (or equivalent) in SW or HW Engineering with emphasis in project execution or project management.
• Typically, up to 2–3 years of relevant experience (internships and academic project experience are considered).
• Strong analytics tool-chain fluency — Power BI (DAX, Power Query / M), SQL, Python; comfortable working with Jira, Excel/VBA, and modern data platforms (e.g., Databricks, Snowflake, AWS).
• Working knowledge of GenAI / Agentic AI concepts with a clear appetite to apply them in an engineering-execution context.
• Strong analytical and algorithmic thinking; able to decompose ambiguous problems, define KPIs, and validate assumptions with data.
• Apply policy / procedures to resolve routine issues, with initiative to propose improvements.
• Cross-cultural awareness and sensitivity; ability to work with globally distributed teams (UK, US, Japan).
• Results-oriented and able to deliver on time under tight schedules; "can-do" attitude.
• Excellent verbal and written English, including the ability to translate complex analytics into clear executive narratives.
• Flexibility to undertake occasional international travel at short notice.

Nice To Haves

• Relevant project management qualifications (e.g., PMP, PRINCE2, Agile/Scrum)
• Basic knowledge of analog and/or digital design within the mixed-signal semiconductor space; exposure to NPI / milestone-driven engineering programs.

Responsibilities

• Capture overall Task Planning for design and verification based on Design Control Methodology and guidance from senior peers.
• Perform data rollup, analytics and visualization, including weekly project status, resource distribution, and portfolio health, as input to functional leads and other Design Controllers.
• Build, maintain and continuously improve Power BI dashboards, Power Query / DAX models, and Jira-based data pipelines that underpin the DC reporting suite.
• Capture and maintain project metrics rolling up into the Project Register.
• Detect, highlight and explain deviations from leading and lagging execution indicators, using both descriptive and predictive analytics.
• Prototype and support AI / GenAI / agentic use-cases that augment Design Control execution (e.g., automated executive summaries, anomaly detection on milestone drift, and conversational drill-downs into project data).
• Use Post-Project-Analysis to feed a data-driven Lessons Learned process and drive continuous improvement of the Design Control Methodology.
• Partner with adjacent functions (PMO, MDP, Jira admins) to help centralize and standardize the DC data layer across projects.
• Other tasks relevant to the position as deemed reasonable by your manager.

Benefits

• Opportunities to explore our hardware and software capabilities and try new things.
• Develop innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure.
• Flexible and inclusive work environment.
• People-first culture and global support system, including the remote work option and Employee Resource Groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree