Senior Manager Quality Data Analytics

Role Purpose

Serves as the analytics subject matter expert for Quality & Continuous Improvement across EMEA, owning the design, development, and evolution of the EMEA-wide performance analytics architecture. Translates complex operational data into strategic insights that drive decision-making at senior leadership level. Acts as the bridge between business stakeholders and data — defining what to measure, how to measure it, and what it means.

Key Responsibilities

Analytics Architecture & Strategy

• Design and own the EMEA Quality & CI KPI architecture — defining metrics, hierarchies, calculation logic, and data lineage across all Business Units
• Establish standardised KPI definitions (Customer Claims, FPY, COPQ, Warranty, VoC, Supplier Quality) to enable consistent EMEA-wide comparison
• Define the analytics roadmap for the function, identifying where advanced analytics, process mining, and AI-enabled approaches can add value
• Architect the data model underpinning EMEA Quality & CI reporting — ensuring scalability, accuracy, and maintainability

Insight Development & Stakeholder Advisory

• Develop and present monthly operating review analytics to senior leadership — translating data into narrative, identifying root causes, and recommending actions
• Partner with BU Quality leaders to define leading indicators and predictive analytics that shift the function from reactive to proactive
• Conduct deep-dive analyses on quality trends, warranty patterns, and supplier performance to surface systemic issues
• Provide data-driven recommendations to Senior Director and VP-level stakeholders on performance improvement priorities

Platform & Capability Development

• Design and build Power BI dashboards and reports that serve as the single source of truth for EMEA Quality & CI performance
• Define requirements for data pipelines and integrations (SAP, Snowflake, other source systems)
• Evaluate and implement process mining tools (Celonis or equivalent) to identify inefficiencies in quality processes
• Drive automation of manual reporting — target 50% reduction in manual effort within 12 months
• Develop reusable templates, calculation logic, and self-service analytics capabilities for the broader Quality team

Governance & Data Quality

• Own the data governance framework for Quality & CI analytics — defining data ownership, refresh cadences, validation rules, and exception handling
• Establish and maintain data quality standards; monitor and resolve discrepancies across source systems
• Lead 8D maturity tracking methodology — defining scoring criteria and reporting dashboards

Required Skills & Experience

Technical (Must-Have)

• Expert-level Power BI development (complex DAX, data modelling, row-level security, deployment pipelines)
• Advanced SQL (query optimisation, stored procedures, complex joins across large datasets)
• Data modelling and warehouse concepts (star schema, fact/dimension design)
• Experience with process mining platforms (Celonis preferred)
• Working knowledge of SAP data structures (QM, MM, SD modules)

Technical (Preferred)

• Power Platform (Power Automate, Power Apps) for workflow automation
• Python or R for statistical analysis
• Experience with Snowflake or similar cloud data platforms
• AI/ML-enabled analytics (anomaly detection, predictive quality)

Functional

• 10–15 years of experience in data analytics, business intelligence, or performance management
• Demonstrated experience designing KPI frameworks and analytics architectures from scratch
• Experience presenting to and advising senior leadership (Director+ level)
• Understanding of Quality management systems, manufacturing KPIs, and operational excellence principles
• Experience working in global matrix organisations across multiple time zones

Behavioral

• Strategic thinking — ability to see the "so what" behind the data and connect analytics to business outcomes
• Stakeholder management — comfortable challenging senior leaders with data and influencing without authority
• Ownership mindset — treats the analytics platform as their product, drives quality and continuous improvement unprompted
• Structured communication — can distil complex analysis into clear, actionable narratives for non-technical audiences

Education

Bachelor's degree in Engineering, Data Science, Statistics, Computer Science, or Business (required)

Master's degree or MBA (preferred)

Success Measures (First 12 Months)

• Single EMEA Quality & CI dashboard live and adopted by all BUs
• Standardised KPI definitions agreed and implemented across EMEA
• 50% reduction in manual reporting effort
• Monthly operating review analytics cadence established
• 8D maturity tracking methodology defined and dashboard deployed
• Process mining pilot completed for at least one quality process

The successful candidate will embrace Vertiv’s Core Principles & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion.

OUR STRATEGIC PRIORITIES

• High-Performance Culture

• Customer Focus

• Operational Excellence

• Innovation

• Financial Strength

VERTIV BEHAVIORS

• Own it

• Act with urgency

• Foster a customer-first mindset

• Think big and execute

• Lead by example

• Drive continuous improvement

• Learn and seek out development

• Promote transparent & open communication

About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected]