Director, Data Delivery

Wella Company; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Pension scheme (employer)”

Private medical insurance

Remote working options

25 days holiday

Job summary

Wella Company in London urban area seeks a Director, Data Delivery to lead enterprise data platforms, pipelines, and AI-enabled data products. You will partner with Data Architecture and Enterprise Architecture to drive scalable, governable data solutions and manage external vendor squads to ensure timely, high-quality outcomes.

The role emphasizes end-to-end lifecycle management, MLOps adoption (MLflow), platform reliability, and collaboration with business stakeholders to maximize analytics

Qualifications

• 10-15 years of data engineering/analytics delivery experience.

Responsibilities

• Deliver end-to-end data platforms and pipelines across multiple squads.
• Define delivery KPIs, SLAs, and governance for vendor teams.
• Ensure AI-ready data and compliant data governance.
• Collaborate with business stakeholders to translate requirements into scalable data solutions.

Skills

Databricks

Vendor management

Data architecture

Python

SQL

Spark

MLflow

Stakeholder mgmt

Leadership

Governance

Education

Bachelor's in CS/IS

Master's preferred

Tools

Databricks

SAP

MLflow

Job description

Reports to: Senior Director, Corporate Functionsand Head of Data &Analytics

Department: IT/Technology

ABOUT THE WELLA COMPANY

Together,WEenable individuals to look, feel, and be their true selves.

Wella Company is one of the world's leading beauty companies, comprised of a family of iconic brands such as Wella Professionals, Clairol, OPI, Nioxin and ghd. With 6,000 employees globally, presence in over 100 countries, Wella Company and its brands enable consumers to look, feel, and be their true selves. As innovators in the hair and nail industry, Wella Company empowers its people to delight consumers, inspire beauty professionals, engage communities, and deliver sustainable growth to its stakeholders. For additional information about the Wella Company please visit www.wellacompany.com.

THE ROLE

The Director, Data Delivery is a strategic and execution-focused leader responsible for enabling Wella's data-driven transformation through scalable, high-quality, and AI-ready data platforms. This role leads the delivery and operationalization of modern data solutions, ensuring that enterprise data is accessible, governed, and optimized for advanced analytics and AI use cases.

Working in close partnership with the Dataarchitecture and Enterprise Architecture teams, this position translates architectural designs into high-quality, production-ready data products. The role is accountable for executing against defined architectures, ensuring adherence to standards while delivering reliable and scalable solutions.

As a key partner to business and technology stakeholders, this role is responsible for delivering robust data pipelines, platforms, and products that power analytics, reporting, and machine learning initiatives. It has deep expertise in Databricks and modern data engineering practices, including environment setup, ingestion frameworks, ML lifecycle management (MLflow), and scalable coding practices.

This role leads delivery throughinternal andexternal vendor squads and is accountable for ensuring high performance, quality, and timeliness of delivery. It plays a critical role in driving vendor accountability, enforcing engineering standards, and ensuring outcomes aligned with business and technical expectations.

KEY RESPONSIBILITIES

Data PlatformArchitecture,Delivery & Engineering Execution& Operations

• Own the end-to-end delivery of data solutions on platforms(Databricks& SAP), ensuring alignment withenterprise architecture principles.
• Oversee setup, configuration, and optimization of data environments to ensure performance, scalability, and reliability.
• Drive implementation of scalable ingestion processes (batch and real-time), transformation pipelines, and curated data layers.
• Establish and enforce standards for coding, CI/CD, testing, and deployment across alldatadelivery teams.
• Ensure consistent implementation ofMLOps&MLflowfor model lifecycle management and reproducibility.
• Establish & LeadDataSolutionArchitecturepracticeto ensure design integrity and proper execution of data architecture patterns.
• Lead delivery through third-party vendor squads, ensuring high-quality, timely, and cost-effective execution.
• Define clear delivery expectations, SLAs, KPIs, and acceptance criteria for all vendor teams.
• Hold vendors accountable for performance, quality, and adherence to engineering and governance standards.
• Establish robust governance frameworks, including sprint reviews, delivery checkpoints, and performance tracking.
• Proactively manage delivery risks, issues, and dependencies, ensuring rapid resolution and minimal business impact.
• Drive continuous improvement in vendor performance, productivity, and delivery outcomes.
• Solution Delivery, Operations & Lifecycle Management
• Ensure end-to-end accountability for the lifecycle of data products—from ingestion to consumption.
• Establish & managedisciplined release management, testing, and deployment practices.
• Ensure platform reliability, stability, and scalability across all data workloads.
• Optimize data processing performance and cost efficiency.
• Act as the escalation point for delivery and operational issues related to data pipelines and platforms.

Data Governance, Quality & AI Readiness

• Establish and Implement enterprise data governance standards and policies
• Implement and enforce data classification standards aligned with enterprise data governance policies.
• Drive data quality frameworks, including monitoring, validation, and issue remediation.
• Ensure data is structured, cataloged, and accessible for analytics and AI use cases.
• Champion the creation of AI-ready datasets through standardization, cleansing, and enrichment.
• Collaborate with governance, security, and compliance teams to meet regulatory and privacy requirements.

Business Engagement & Value Delivery

• Partner with business stakeholders and analytics teams to translate requirements into scalable data solutions.
• Enable advanced analytics, reporting, and AI initiatives through high-quality, reliable data delivery.
• Drive prioritization of data initiatives aligned with business value and outcomes.
• Define and track delivery metrics, ensuring transparency into progress and value realization.
• Manage relationships with external delivery partners and data platform vendors (e.g., Databricks).
• Ensure alignment between vendor capabilities and Wella’s delivery and quality expectations.
• Collaborate with Procurement and IT leadership on contract management, performance reviews, and cost optimization.
• Ensure compliance with InfoSec, data privacy, and enterprise technology standards across all vendor-delivered solutions.
• Leadership & Organizational Development
• Provide leadership across multiple vendor squads, ensuring alignment, coordination, and delivery excellence.
• Establish clear delivery governance, operating models, and ways of working for external teams.
• Act as the internal point of accountability for all data delivery outcomes.
• Foster a culture of accountability, quality, and continuous improvement across internal and external teams.
• Develop internal capabilities to effectively manage and govern vendor-led delivery models.

ESSENTIAL SKILLS, EXPERIENCE & QUALIFICATIONS

• Very strong technical & management expertise in modern data architecture, engineering and operational efficiencies.
• Proven experience architecting and developingof AI enabled accelerators for various data management use cases (ingestion, DQ, data mapping, ETL/ELTs etc.)
• Databricks Platform Expertise - Deep experience with Databricks, including environment setup,architecture, tooling, engineering,optimization, and operational delivery.
• Data Engineering Delivery - Strong expertise in implementing ingestion pipelines, transformations, and scalable data products.
• ML Lifecycle Enablement - Hands-on experience with MLflow and operationalizing machine learning workflows.
• Vendor & Delivery Management - Proven ability to manage third-party vendors, enforce accountability, and deliver through external squads.
• Governance & Accountability - Strong experience establishing delivery governance, KPIs, and performance management frameworks.
• Data Governance & Quality - Experience implementing data classification, quality controls, and governance processes.
• AI Data Enablement - Proven ability to prepare and deliver AI-ready datasets for advanced analytics.
• Technical Depth & Coding - Strong programming skills (Python, SQL, Spark) with focus on quality and maintainability.
• Stakeholder Management - Ability to translate business needs into actionable data delivery outcomes.

Qualifications & Experience

Education:

• Bachelor's or master's degree in computer science, data engineering, information systems, or a related field
• Advanced certifications in data platforms, cloud technologies, or AI/ML are a plus

Experience:

• 10-15 years of experience in data engineering, data platforms, or analytics delivery roles.
• Proven hands-on experience with Databricks, including environment setup, ingestion frameworks, and optimization.
• Strong experience implementing MLflow and supporting machine learning lifecycle management.
• Demonstrated experience managing delivery through third-party vendors or system integrators.
• Proven leadership in overseeing multiple delivery squads (vendor or hybrid models).
• Strong experience in data governance, data classification, and data quality implementation
• Proven ability to deliver AI-ready data solutions at scale.
• Strong coding experience in Python, SQL, and Spark-based processing.
• Experience with SAP data ecosystems, including SAP BDC, Datasphere, and SAP data integration.
• Familiarity with enterprise ERP data models and business process data domains.

WHAT WE OFFER

• 25 days holiday + additional day off for your birthday (not including bank holidays)
• 3 days' personal leave for your own signification life events
• 2 paid days off for volunteering/charity work
• Optional Wella Pension Scheme (8% employer contribution, 3% employee contribution)
• Optional Family Private Medical Insurance Cover
• Income Protection
• Life Insurance (8x base salary up to 2 million payable in the event of your death in service of Wella)
• Staff Discount (80% of all hair products, 40% OPI, 1 x 50% ghd)
• EAP (Employee Assistance Program)Enhanced maternity, paternity, and adoption leave
• Eye Tests
• WOW Program (Bonus following exit from KKR, eligible after successful probation. For permanent employees only)
• Workplace/Nursery Benefits
• 4 weeks working remotely abroad
• Early Friday Finish during Summer

EEO OPPORTUNITIES

The Wella Company wants to meet the aims and commitments set out in its equality policy. This includes not discriminating under the Equality Act 2010 and building an accurate picture of the make-up of the workforce in encouraging equality and diversity.

We offer equal employment opportunity to qualified individuals without regard to race, religion or belief, color, national origin, age, gender, disability, sexual orientation, gender identity, gender expression, marital or civil partnership, pregnancy and maternity, veteran status, or any other characteristic protected by law. Wella Company with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at:https://www.wellacompany.com/consumer-affairs

We strongly believe that cultivating a diverse workplace gives a company strength. The combination of unique skills, abilities, experiences and backgrounds creates an environment that produces extraordinary results. EOE Minorities/Females/Protected Veterans/Disabled.

English - Please click on thislinkto review the Notification of Equal Opportunity Rights poster