Manufacturing Technology and Industrial Data Delivery Manager

Deloitte • Tampa, FL

59d • $155,600 - $306,800

About The Position

Deloitte’s Industrial Data Operations (IDO) practice helps clients turn plant-floor data into a trusted, reusable enterprise asset that supports operational excellence, connected enterprises, and digital transformation. It connects industrial assets and systems, contextualizes data across IT and OT environments, governs data quality and access, and delivers reliable information for analytics and decision-making. The practice supports capabilities including production performance, factory synchronization, predictive maintenance, supply chain visibility, digital twins, and AI-enabled manufacturing applications.

The IDO Delivery Manager leads delivery execution for industrial data and analytics engagements, coordinating onshore and offshore teams and managing client-facing delivery communications. The role translates technical work into practical delivery plans, keeps execution moving across teams, and aligns client stakeholders, delivery teams, and platform partners.

The manager oversees the design of the data integration layer between OT sources and cloud analytics platforms, including lakehouse schemas, time-series mapping, cloud landing zone architecture, and pipeline patterns. The role reviews offshore data engineering output, identifies architectural risks, and guides corrections. Early in engagements, the manager may coordinate with Databricks and AWS alliance solution architects for platform-specific design input. The position is suited to someone with a technical data-platform background who has led delivery on industrial data or manufacturing analytics programs.

The role is part of a team of strategic advisors, architects, and implementers working on business transformations and supply chain capabilities. Travel averages 50% of working time, depending on client and industry needs. Recruiting for this role ends January 5, 2027.

Requirements

• At least 8 years of experience as a data platform architect, senior data engineer, or similar technical delivery leader.
• At least 5 years leading delivery on industrial data, manufacturing analytics, operational technology, or related data platform programs.
• At least 5 years managing execution across multiple workstreams while maintaining architecture quality and delivery outcomes.
• At least 5 years working with cloud data platforms and hyperscaler ecosystems.
• At least 8 years of total experience in consulting and/or industry, including at least 3 years of technical delivery leadership following a data architecture or engineering background.
• At least 3 years coordinating or leading work across onshore and offshore delivery teams.
• Bachelor’s degree in Computer Science, Data Engineering, 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 collaboratively, communicate effectively in writing and verbally, and build and sustain professional relationships.
• Meticulous attention to detail and quality of work product; strong interpersonal skills and professional demeanor.
• Ability to lead projects or workstreams, prioritize multiple tasks in a fast-paced environment, meet deadlines, and mentor and provide clear guidance to others.

Nice To Haves

• At least 2 years of exposure to Databricks and AWS.
• Comfort coordinating with platform solution architects or alliance teams for platform-specific design support.
• Strong client communication skills, including the ability to explain technical topics clearly to technical and business stakeholders.
• Experience with 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.
• Ability to review data engineering deliverables in technical depth to identify architectural issues, integration risks, and design gaps.

Responsibilities

• Lead delivery execution for industrial data and analytics engagements.
• Coordinate onshore and offshore delivery teams and manage clear, client-facing delivery communications.
• Translate technical work into practical delivery plans and keep execution moving across teams.
• Align client stakeholders, delivery teams, and platform partners.
• Oversee the design of the data integration layer between operational technology sources and cloud analytics platforms.
• Oversee lakehouse schemas, time-series mapping, cloud landing zone architecture, and data pipeline patterns.
• Review offshore data engineering work, identify architectural risks, and guide corrections.
• Coordinate with Databricks and AWS alliance solution architects for platform-specific design input when needed.
• Lead projects or workstreams, manage multiple tasks and priorities, meet deadlines, and mentor and guide others.

Benefits

• May be eligible to participate in a discretionary annual incentive program, subject to program rules and performance factors.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager