Head of Data Automation & Manufacturing Intelligence

About Ensurge Micropower

Ensurge Micropower (OSE: ENSU) is a pioneer in solid‑state microbattery technology, enabling the next generation of intelligent, connected devices. Leveraging proprietary thin‑film and roll‑to‑roll manufacturing, Ensurge delivers safe, high energy‑density batteries for applications in wearables, health tech, industrial sensing, and defense. With headquarters in San Jose and a global footprint spanning the U.S. and Europe, Ensurge is redefining what is possible in powering AI at the edge.

Ensurge solid‑state microbatteries offer multiple times the energy density and charge cycles of lithium‑ion alternatives. Our platform enables a wide range of battery shapes and form factors, unlocking new product designs and previously impossible applications.

Join our team of battery innovators in a dynamic, supportive start‑up environment to enable the next generation of hearables, wearables, and IoT‑connected sensors with Ensurge’s groundbreaking solid‑state microbatteries.

Ensurge is seeking a Head of Data Automation & Manufacturing Intelligence to architect, build, and lead the company’s end‑to‑end data, automation, and digital manufacturing ecosystem.

This leader will be responsible for connecting the physical factory to digital intelligence — spanning equipment control (PLC), SCADA, MES, cloud infrastructure, analytics, and AI/ML deployment. Reporting to the COO, this role is critical to Ensurge’s ability to scale with discipline, repeatability, and speed.

This is not a “tools administrator” role. This is a hands‑on systems architect and organizational leader who will define how data flows from machine → process → decision → execution.

We are building the operational backbone required to scale Ensurge’s breakthrough products — and data is at the core of that mission.

• Own and standardize PLC architecture, communication protocols, and equipment integration across the factory
• Lead integration of SCADA systems for real‑time monitoring, alarms, historical data, and visualization
• Partner with Equipment Engineering to embed data‑first design into new tools and retrofits
• Establish automation standards for uptime, fault detection, interlocks, and safety

• Lead selection, implementation, and scaling of MES / MOM platforms to enable:
  • Full product and process traceability
  • Automated data capture (eliminating manual spreadsheets)
  • WIP, genealogy, yield, and cycle‑time visibility
• Integrate MES with quality systems, travelers, and change control
• Ensure MES scales from pilot to volume without re‑architecture

• Design and own Ensurge’s cloud data architecture (AWS/Azure/GCP)
• Build secure, scalable data pipelines from factory floor to cloud analytics
• Implement Dev Ops practices (CI/CD, infrastructure as code, monitoring, security)
• Ensure data integrity, versioning, access control, and compliance readiness

• Deploy AI/ML models for:
  • Yield prediction and defect detection
  • Equipment health and predictive maintenance
  • Process optimization and DOE acceleration
• Translate manufacturing problems into data science use cases that deliver measurable ROI
• Partner with R&D, Manufacturing, and Quality to operationalize models — not just prototype them

• Build robust API layers connecting PLCs, MES, LIMS, ERP, quality, and customer‑facing systems
• Enable internal teams with self‑service dashboards, alerts, and analytics
• Create standardized data products that support daily management, executive reviews, and board reporting

• Build and lead a high‑performing automation, data, and software team
• Establish clear standards, documentation, and ownership models
• Serve as a key thought partner to the COO on scaling strategy, capacity modeling, and operational risk
• Embed a data‑driven culture — where decisions are visible, traceable, and fast

• Proven experience leading manufacturing data and automation systems in a high‑tech production environment (semiconductor, battery, electronics,…