Manager/Solution Architect

Deloitte•Jersey City, NJ

29d•$155,600 - $306,800•Hybrid

About The Position

Deloitte’s Industrial Data Operations (IDO) practice helps clients turn plant-floor data into a trusted, reusable enterprise asset that powers operational excellence, connected enterprises, and digital transformation. We bring together people, processes, and technology to connect industrial assets and systems, contextualize data across IT and OT environments, govern data quality and access, and deliver reliable information for analytics and decision-making. Our work enables capabilities such as production performance, factory synchronization, predictive maintenance, supply chain visibility, digital twins, and AI-enabled manufacturing applications—creating the scalable data foundation organizations need to move beyond brittle point-to-point solutions and realize value from their digital investments.

Requirements

8+ years of experience in controls/automation engineering, OT integration, or industrial data architecture, including 5+ years leading architecture work across OT, edge, and enterprise environments and experience with a vendor or systems integrator.
5+ years defining OT-up architecture, including 2+ years designing UNS architecture and ISA-95 asset models from scratch.
5+ years designing connections among historian systems, edge platforms, and enterprise systems within industrial data architectures.
5+ years leading foundation advisory and implementation workstreams for industrial data or OT integration programs.
Ability to serve as the technical voice in vice president- and director-level client conversations.
5+ years translating between operations/OT and IT/enterprise stakeholders.
3+ years of firsthand plant-floor experience, including reading and working from P&IDs.
5+ years of hands-on experience with two or more of the following: ISA-95/ISA-88, OPC UA/UNS, historian systems, or edge platforms.
5+ years maintaining a platform-agnostic architecture perspective while aligning designs to implementation needs.
3+ years coordinating architecture handoffs to cloud data platform delivery leaders.
3+ years partnering with platform architects, including Cognite Platform Architects on Cognite Data Fusion engagements where applicable.
Bachelor’s degree in Electrical Engineering, Controls Engineering, Industrial/Manufacturing Engineering, or a related field, or at least 8 years of equivalent practical experience.
Ability to travel an average of 50% of working time based on client and industry needs.
Must be legally authorized to work in the United States without employer sponsorship now or at any time in the future.
Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.

Nice To Haves

Comfortable coordinating with platform solution architects or alliance teams for platform-specific design support.
Strong client communication skills, with the ability to explain technical topics clearly to both technical and business stakeholders.
Data integration patterns between OT source systems and cloud analytics platforms.
Experience designing or overseeing lakehouse schemas, time-series data mapping, cloud landing zone architecture, and data pipeline patterns.

Responsibilities

Serve as the platform-agnostic industrial data architecture authority, leading foundation advisory and implementation workstreams across operational technology (OT), edge, and enterprise environments.
Define the OT-up architecture, including Unified Namespace (UNS) design, ISA-95 asset modeling, contextualization strategy, and integration topology across historian systems, edge platforms, and enterprise systems.
Act as the technical voice in vice president- and director-level client conversations, translating plant-floor realities into practical architecture decisions.
Partner closely with delivery leadership, handing off the cloud data platform layer to the Delivery Manager while continuing to guide the industrial data architecture.
On Cognite Data Fusion (CDF) engagements, work with the Cognite Platform Architect to align architecture decisions with platform capabilities.
Translate between operations and IT.
Lead projects or workstreams.
Manage and prioritize multiple tasks in a fast-paced and dynamic environment.
Mentor and provide clear guidance to others.
Coordinate architecture handoffs to cloud data platform delivery leaders.
Partner with platform architects, including Cognite Platform Architects on Cognite Data Fusion engagements where applicable.
Coordinate with platform solution architects or alliance teams for platform-specific design support.
Review data engineering deliverables in enough technical depth to identify architectural issues, integration risks, and design gaps.