IDO Delivery Manager

Deloitte France; Salt Lake City (UT); On-site; USD 156,000 - 307,000; Full time

Benefits offered by this job

Discretionary annual incentive program

Job summary

Deloitte's Industrial Data Operations (IDO) invites a Delivery Manager to lead data & analytics engagements, coordinating onshore and offshore teams, translating complex work into actionable delivery plans, and maintaining clear client communications.

The role oversees OT-to-cloud integration design, lakehouse schemas, time-series mapping, landing zone architecture, and pipelines, with hands-on depth to review engineering output and steer corrections. A dynamic leader with cloud fluency is ideal.

Qualifications

• 8+ years as data platform architect or senior data engineer with delivery leadership.
• 5+ years delivering industrial data, manufacturing analytics, OT, or related programs.
• 5+ years leading multiple workstreams with focus on architecture quality and outcomes.
• 5+ years with cloud data platforms; 2+ years Databricks and AWS preferred.
• Total 8+ years in consulting or industry, incl. 3+ years in technical delivery leadership.
• 3+ years coordinating onshore/offshore teams; willing to travel ~50%.

Responsibilities

• Lead core delivery execution for industrial data & analytics engagements with onshore/offshore teams.
• Translate technical work into practical delivery plans and maintain client-facing communications.
• Own design oversight of OT to cloud data integration, lakehouse schemas, and pipelines.
• Review offshore data engineering output to identify risks and guide corrections.
• Coordinate with Databricks/AWS alliance architects for platform input.

Skills

Delivery leadership

Cloud data platforms

Databricks

AWS

Client communication

Cross-team collaboration

Architectural oversight

Travel up to 50%

Education

Bachelor's degree in Computer Science / Data Engineering / Engineering

Tools

Databricks

AWS

Job description

IDO Delivery Manager

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.

Work you'll do

In this role, you will lead core delivery execution for industrial data and analytics engagements, coordinating onshore and offshore teams while managing clear, client-facing delivery communications. You will help translate technical work into practical delivery plans, keep execution moving across teams, and support alignment between client stakeholders, delivery teams, and platform partners.

You will own the design oversight of the data integration layer between operational technology (OT) sources and cloud analytics platforms, including lakehouse schemas, time-series mapping, cloud landing zone architecture, and pipeline patterns. This role requires enough hands-on data platform depth to review offshore data engineering output, identify architectural risks, and guide corrections. Early in engagements, you may coordinate with Databricks and AWS alliance solution architects for platform-specific design input. The ideal background is a data platform architect or senior data engineer who has led delivery on industrial data or manufacturing analytics programs and moved into delivery leadership from a technical foundation.

A successful candidate would possess these skills:

• 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

• Ability to lead projects or workstreams

• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

• Strong interpersonal skills and professional demeanor

• Ability to meet deadlines

• Ability to mentor and provide clear guidance to others

The team

We are a team of strategic advisors, architects, and implementers who drive business transformations. Our diverse talent energizes clients' business functions and technology to maximize value in Supply Chain enhancing their ability to fulfill their growth and efficiency ambitions. Imagine working with world-class supply network capabilities like Smart Factory, Strategy & Innovation, Supply Chain Responsiveness, Sourcing & Procurement, or Product Development & Operations!

Qualifications

Required:

• 8+ years of experience as a data platform architect, senior data engineer, or similar technical delivery leader.

• 5+ years leading delivery on industrial data, manufacturing analytics, operational technology (OT), or related data platform programs.

• 5+ years managing execution across multiple workstreams while maintaining focus on architecture quality and delivery outcomes.

• 5+ years working with cloud data platforms and hyperscaler ecosystems, with 2+ years of exposure to Databricks and AWS preferred.

• 8+ years of total experience in consulting and/or industry, including 3+ years of technical delivery leadership following a data architecture or engineering background.

• 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.

  Preferred:

• 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.

• Ability to review data engineering deliverables in enough technical depth to identify architectural issues, integration risks, and design gaps.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation - https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.