Lead strategy, solutioning, and delivery of digitization and automation programs for discrete and hi-tech manufacturing customers (electronics, automotive, aerospace/defense, semiconductors, EMS, Pharma/Biotech). Own the end-to-end roadmap—from discovery to measurable operational outcomes—spanning MES/MOM, IIoT/edge, SCADA/DCS integration, advanced analytics, digital thread/PLM, quality digitization (QMS), and OT cybersecurity. Drive commercial growth while ensuring projects achieve tangible improvements in OEE, throughput, first-pass yield, cycle time, energy and cost.

Required Qualifications

• Education: BE/BTech in Mechanical/Electrical/Electronics/Industrial/Computer Engineering; MBA or MS preferred.
• Experience: 10–15+ years in industrial automation/digital manufacturing with 5+ years leading complex programs in discrete/hi-tech environments.
• Technical Depth: MES/MOM, SCADA/DCS, PLCs, industrial networks, historians, IIoT/Edge, cloud platforms, data integration, analytics, digital twin, ERP/PLM/QMS/LIMS, OT cybersecurity.
• Methodologies: Lean/Six Sigma, Agile delivery, benefits realization management, change management.
• Soft Skills: Executive communication, stakeholder alignment, negotiation, cross-functional leadership.

Key Performance Indicators (KPIs)

• Financial: Order intake, revenue, GM, project margin, attach/cross-sell, renewal rate.
• Operational: OEE ↑, throughput ↑, first-pass yield ↑, scrap/rework ↓, cycle time ↓, energy/utilities ↓.
• Delivery: On-time/on-budget %, adoption rate, MTTR/availability, cybersecurity posture.
• Customer: NPS/CSAT; case studies/reference ability.
• People: Team engagement, skills growth, attrition, certification progress.

Primary Activities (Examples)

• Lead value-discovery at customer plants; develop digital roadmaps tied to business outcomes.
• Govern architecture reviews; approve design decisions on MES/edge/analytics stacks and PLC/robot integration.
• Establish a factory data model and KPI catalog; publish dashboards for real-time performance and quality.
• Run pilot → scale playbooks with quantified ROI; institutionalize standards and reusable assets.
• Ensure programs meet OT security, safety, and compliance requirements.

Travel

~25–40% (in country) to manufacturing sites, suppliers, and partner labs; travel may vary by portfolio.

Work Environment & Compliance

Strong adherence to OT safety protocols, site EHS requirements, and data security/compliance standards. Uphold Honeywell’s ethics policies and confidentiality requirements throughout discovery, delivery, and support.

Why This Role Matters

This role connects factory operations to business outcomes—accelerating smart-factory adoption in discrete and hi-tech segments, building scalable digital capabilities, and unlocking margin and growth.

• Strategy & Portfolio: Define multi-year digitization and automation strategy for target verticals, including value propositions, reference architectures, and outcome-based pricing.
• Business Development & Pre-Sales: Partner with Sales to qualify opportunities; lead discovery workshops, value engineering, and business case development.
• Delivery Governance: Own program governance across scoping, SOWs, implementation, testing, cutover, and stabilization; ensure adherence to OT cybersecurity, safety, and compliance standards.
• Solution Excellence: Establish standards for architecture, data pipelines, and analytics; introduce reusable accelerators.
• Partnerships & Ecosystem: Orchestrate OEM/ISV partnerships and system integrators; manage joint GTM and delivery quality.
• People Leadership: Build and mentor a multi-disciplinary team; develop talent plans aligned to the Job Profile and Honeywell job structure.