Head of Delivery Management

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.

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.

Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to mentor and provide clear guidance to others

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!

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.Comfortable coordinating with platform solution architects or alliance teams for platform-specific design support.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; 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.Deloitte is committed to providing reasonable accommodations for people with disabilities. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development

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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.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Strategy, Growth, and Transformation
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