Location: Indore India
Employment Type: Contract
Key Responsibilities
- Lead the design and implementation of MES, IIoT, and digital transformation architectures, ensuring scalability and alignment with industry standards.
- Partner with clients to understand their manufacturing operations, identify opportunities for improvement, and design Industry 4.0 solutions that deliver measurable value.
- Oversee the integration of automation, IT, and enterprise systems, enabling seamless data flow from the shop floor to the cloud.
- Collaborate with cross-functional teams to deliver solutions that support core and extended manufacturing functions such as OEE, downtime, scheduling, order management, track & trace, quality management, energy management, device management, etc.
- Design and implement data architecture solutions including data modeling, supporting governance frameworks, and master data management strategies for manufacturing environments.
- Manage vendor relationships and technology selection processes, evaluating and recommending solutions that align with client requirements and strategic objectives.
- Provide technical leadership and guidance to project teams, ensuring solutions are well-architected, secure, and future-ready.
- Build and maintain strong relationships with clients, partners, and stakeholders while staying up to date with emerging technologies and industry trends.
- Support documentation, knowledge sharing, and best practices to enable consistent delivery and continuous improvement.
Qualifications & Skills Required
- 10+ years of experience in manufacturing automation, MES, and digital transformation.
- Strong knowledge of Industry 4.0 concepts (IIoT, Unified Namespace, Smart Manufacturing, AI/ML, Digital Twin).
- Hands-on experience with IIoT/MES platforms (Ignition/Sepasoft, WinCC OA, Siemens OpCenter, or similar) and integration with ERP and external systems.
- Solid understanding of manufacturing operations (production planning, scheduling, quality, OEE, downtime, supply chain processes, etc.).
- Familiarity with automation tech stack: sensors, PLCs, HMIs, SCADA, MES, ERP, and cloud.
- Experience with cloud platforms (GCP preferred; AWS/Azure familiarity a plus).
- Proficiency in programming/scripting (Python, Java, JavaScript, or equivalent).
- Experience with databases (SQL & NoSQL such as MS SQL, PostgreSQL, MongoDB) and historians.
- Strong understanding of OT/IT integration, including networking fundamentals, secure architectures, and identity management.
- Experience with modular/microservices architecture design and implementation.
- Hands-on experience with API management platforms and integration technologies (REST, GraphQL, messaging systems).
- Proven experience in data modeling and architecture design for manufacturing environments.
- Familiarity with master data management (MDM) systems and strategies in manufacturing contexts.
- Experience with real-time data streaming architectures and technologies (Kafka, MQTT, GCP Pub/Sub, etc.).
- Proven ability to lead cross-functional teams and deliver enterprise-scale manufacturing solutions.
Preferred / Nice to Have
- 5+ years in MES/SCADA system design and implementation.
- 3+ years of hands-on experience with Ignition (platform and modules).
- Experience with automotive manufacturing environments.
- Experience leading multi-site MES rollouts.
- Exposure to digital twin, simulation, or GenAI applications in manufacturing.
- Knowledge of standards and frameworks such as ISA-95 or similar.
- Experience with agile methodologies and modern DevOps practices.
- Experience in change management methodologies and organizational transformation frameworks.
- Relevant certifications (e.g., CMRP, CIMP) are a plus.
Soft Skills
- Strong problem-solving and analytical mindset.
- Excellent communication and stakeholder management skills.
- Ability to translate technical solutions into business value.
- Comfortable leading workshops and roadmaps with client executives and technical teams.
- Collaborative, with ability to work across global OT, IT, and business teams.
- Strong change management and organizational transformation capabilities.
- Effective vendor relationship management.
