Job Description- Drive data-driven co-ordination and execution intelligence for IC development - across analog, digital, verification, layout and validation, in collaboration with Design Controllers, Program Managers, technical project leads and mixed-signal project teams.
- Support technical co-ordination through planning, reviewing and action tracking, while actively building the analytics, automation and AI foundation that scales the project management Methodology and powers a data-driven Lessons Learned process.
Principal Accountabilities: - 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- for example, 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.
Key Performance Measures: - Accurate technical planning and reporting for small-to-mid-scale IC development, delivered to the required quality and industry standards.
- Increased adoption and quality of DC metrics (leading + lagging indicators) in project planning, tracking and executive reporting.
- Reduction in manual reporting effort through automation of data pipelines, dashboards and recurring analyses.
- Tangible AI / analytics proofs-of-value delivered against the DC roadmap (e.g., automated exec summaries, drift/anomaly detection, portfolio-level insights).
- Data-driven Lessons Learned process is effective, with clear, actionable continuous-improvement outcomes.
- Technical meetings are effective with clear outcomes and deliverables.
Qualifications- 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
- Beneficial: Relevant project management qualifications (e.g., PMP, PRINCE2, Agile/Scrum)
- 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.
- Beneficial: Basic knowledge of analog and/or digital design within the mixed-signal semiconductor space; exposure to NPI / milestone-driven engineering programs.
Additional InformationRenesas is an embedded semiconductor solution provider driven by its Purpose '
To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, '
To Make Our Lives Easier.'
At Renesas, you can:
- Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
- Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
- Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.
Are you ready to own your success and make your mark?
Join Renesas.
Shape Your Future with Us.
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