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IT Director

Job in Bloomington, McLean County, Illinois, 61791, USA
Listing for: Western Digital Capital
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Engineering, Business Systems & Technology Analysis, AI Business & Operations, Change Management
Salary/Wage Range or Industry Benchmark: 166900 - 222500 USD Yearly USD 166900.00 222500.00 YEAR
Job Description & How to Apply Below
  • Job Type (exemption status):
    Exempt position - Please see related compensation & benefits details below
  • Salary Range:

    -
  • Business Function:
    Information Technology
Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

The Director, Process Intelligence & Business Transformation, leads Western Digital's enterprise process intelligence program, owning the object-centric Process Mining capability (Celonis OCPM) that serves as the analytical engine for identifying, diagnosing, and prioritizing process improvement opportunities across WD's core business operations.

This role is the primary bridge between raw transactional data and actionable re-engineering initiatives — surfacing process inefficiencies, conformance gaps, and automation candidates across Oracle Fusion Cloud-based processes spanning the full enterprise process taxonomy, including Source-to-Pay, Order-to-Cash, Record-to-Report, Plan-to-Fulfill, Concept-to-Offer, Offer-to-Plan, and Lead-to-Order.

The role institutionalizes the capability: it stands up and operates the Process Mining Center of Excellence, governs the shared object-centric data model as an enterprise asset, builds and sustains a business relay network across value streams, and maintains evidence-based process documentation anchored on mined baselines and explicit targets.

This leader operates at the intersection of data, process, technology, and AI, translating complex object-centric process analysis into prioritized, investment-ready transformation opportunities with a defined handover to executing owners, and co-driving the adoption of AI-enabled process intelligence at scale.

Excellence in delivery and the development of IT/BSG resources into full process mining proficiency is a standing objective shared with the Sr. Director, Business Program Architecture.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Center of Excellence & Operating Model

  • Stand up and operate the Process Mining Center of Excellence: charter, named roles, decision rights matrix, steering-group cadence, prioritization board, and business-unit engagement contracts
  • Define and publish the candidate prioritization framework — value and feasibility criteria with scoring anchors, QCD (Quality/Cost/Delivery) evidence-based scoring modes, and heat maps — so that which processes enter the program is governed by transparent criteria rather than demand pressure

Process Mining & Analytics

  • Own and scale WD's object-centric Process Mining program on Celonis as the primary diagnostic engine for enterprise process health
  • Act as the design authority for the enterprise object-centric data model (OCDM): modeling standards, extension policy, object type ownership, change review gates, model catalogue, and data footprint / license consumption control.
  • Establish and maintain automated data pipelines from Oracle Fusion and any other relevant sources (via AWS data lake or direct EMS connectors) to the process mining platform, ensuring data fidelity and refresh cadence SLAs
  • Design and govern end-to-end process mining data models across source systems, integrating event logs from modules including SCM, Procurement, Financials, and Order Management
  • Build and maintain a library of PQL-based KPIs, conformance checks, and variant analyses across all in-scope processes
  • Translate process graph outputs — throughput times, rework rates, conformance deviations, and automation opportunity scores — into clearly packaged, investment-ready findings for business unit-led prioritization,…
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