Business Process Manager – Digital Transformation, AI & Data Analytics

ABB

. Manage and prioritize the AI business improvement portfolio, ensuring delivery of measurable benefits with required quality, schedule, and budget discipline.

Posted 11/10/2026full-timeMebane • North Carolina • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI business improvement portfolios and developing analytics roadmaps aligned with digital transformation objectives. Proficient in translating business needs into actionable data and automation solutions while ensuring quality and measurable business value.

Highest-signal resume keywords

AI Business Improvement ManagementData Analytics and Digital TransformationSAP ECC and S/4HANA KnowledgeMicrosoft Power BI and Snowflake ExperienceManufacturing Operations Expertise

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness Process ManagementPredictive AnalyticsAutomation SolutionsKPI DesignData VisualizationOperational Technology GovernanceUse-Case QualificationChange AdoptionProcess Standardization

Soft Skills

Stakeholder CollaborationChange ManagementPrioritizationCommunicationBest-Practice Sharing

Tools & Technologies

Microsoft Power BISnowflakeSAPAzureMicrosoft FabricERP SystemsMES IntegrationBusiness Intelligence PlatformsOperational TechnologyData Platforms

Industry Keywords

Discrete ManufacturingNEMA Low and Medium SwitchgearMotor Control CentersISA-95 ConceptsManufacturing Master Data

Tech Stack

Tools & technologies

AzureERPSnowflake

About the role

Key responsibilities & impact

Manage and prioritize the AI business improvement portfolio, ensuring delivery of measurable benefits with required quality, schedule, and budget discipline.
Build the foundation for AI use cases and predictive analytics by improving data readiness, clarifying business ownership, documenting source data, and establishing repeatable use-case qualification and value-validation methods.
Develop and maintain a prioritized analytics roadmap aligned with North America ELDS business process priorities and digital transformation objectives.
Partner with factory operations, supply chain, engineering, quality, finance, IS, ERP, MES, and analytics teams to align business requirements and technology roadmaps.
Promote process standardization, best-practice sharing, change adoption, and reuse of capabilities across sites.
Translate artificial intelligence, data, analytics, and digital transformation opportunities into sustainable operational capabilities across front-end commercial functions and operational units of ELDS North America.
Connect business processes, business data, system capabilities, and technology teams to move qualified AI use cases from idea and proof of concept into governed, adopted, and supportable business solutions.
Work with business stakeholders, process owners, Information Systems, data teams, and external partners to prioritize demand, improve data quality, and deliver reusable capabilities with measurable business value.

Requirements

What you’ll need

Bachelor's degree in Engineering, Information Systems, or a related field.
8+ years of progressive experience in manufacturing operations, business process management, data analytics and digital transformation.
Demonstrated experience translating business needs into reporting, analytics, data, or automation solutions and managing work through a prioritized backlog.
Working knowledge of SAP ECC and S4 ERP environments.
Working knowledge of modern business intelligence and data platforms.
Experience with Microsoft Power BI, Microsoft Fabric, Azure, Snowflake, SAP, or equivalent enterprise platforms is preferred.
Candidates preferably already have work authorization that would permit them to work for ABB in the US.
Experience with discrete manufacturing environments, specifically NEMA low and medium switchgear and motor control centers, is preferred.
Working knowledge of SAP ECC, S/4HANA, MES integration with ERP and factory systems, ISA-95 concepts, manufacturing master data, and operational technology governance.
Practical experience with Snowflake platform and Microsoft Power BI semantic models, dashboards, data visualization, KPI design, and governed self-service reporting.
Practical experience operationalizing and implementing AI solutions in a discrete manufacturing environment.
Experience qualifying predictive analytics or AI use cases based on business value, data readiness, feasibility, risk, and adoption requirements.

Benefits

Comp & perks

Choice between two medical plan options: a PPO plan called the Copay Plan OR a High Deductible Health Plan (with a Health Savings Account) called the High Deductible Plan.
Choice between two dental plan options: Core and Core Plus
Vision benefit
Company paid life insurance (2X base pay)
Company paid AD&D (1X base pay)
Voluntary life and AD&D – 100% employee paid up to maximums
Short Term Disability – up to 26 weeks – Company paid
Long Term Disability – 60% of pay – Company paid. Ability to “buy-up” to 66 2/3% of pay.
Supplemental benefits – 100% employee paid (Accident insurance, hospital indemnity, critical illness, pet insurance)
Paid Parental Leave
Employee Assistance Program
Health Advocate support resources for mental/behavioral health, general health navigation and virtual health, and infertility/adoption
Employee discount program
401k Savings Plan with Company Contributions
Employee Stock Acquisition Plan (ESAP)
11 paid holidays
Vacation based on years of service for hourly and non-exempt positions
Salaried exempt positions provided vacation under a permissive time away policy