Data and Products Manager

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Role Overview

The Data & Products Manager (DPM) leads the strategy, planning, and delivery of data/analytics services across their project portfolio. This involves data analysis, visualization, modeling, mining, KPI definition, and data storytelling to support PCR priorities. The role emphasizes adding value through data/analytics, especially in Process Improvement, by determining approaches, aiding data gathering, and informing solution development using various tools. The DPM oversees project deliverables, focusing on business outcomes and benefits, supported by a Data Analyst responsible for delivery.

Success Metrics

Success is measured by the effective definition and delivery of data/analytics plans that ensure strategies and products achieve optimal project outcomes. Proactive stakeholder engagement and adopting best practices from industry peers are key, along with trialing new tools to keep capabilities current.

Key Responsibilities

1. Lead and deliver data/analytics services for the PCR Solutions portfolio, integrating with Process Improvement/Business Change initiatives to enhance effectiveness.
2. Engage effectively with internal and external stakeholders to understand requirements, define project scope, and track benefits realization.
3. Serve as the primary point of contact for data/analytics within the PCR team, leveraging all available data sources and insights to inform projects and outcomes.
4. Oversee data models, ensuring timely updates aligned with process changes.
5. Own analytical products and their roadmaps for the PCR team.
6. Ensure timely project delivery, managing schedules, risks, and team workload, including supplier onboarding and management when necessary.
7. Ensure data/analytical solutions comply with Heathrow strategies and policies (e.g., GDPR, branding, storage) with clear business ownership.
8. Demonstrate experience in leading data/analytics projects, particularly in Process Improvement initiatives.
9. Possess skills in Data Wrangling, Visualization, Storytelling, Modeling, and Governance.
10. Proven track record with Business Intelligence tools like PowerBI.
11. Ability to read and review programming scripts in R, Python, DAX, or a willingness to learn.
12. Address complex challenges logically and analytically, supporting recommendations with data and sound judgment.
13. Maintain strong stakeholder management and communication skills, capable of simplifying complex data for diverse audiences.
14. Be a self-starter, identifying opportunities to maximize data/analytics value.
15. Balance quality deliverables with competing priorities.

Preferred Qualifications

• Experience with Minitab, Data Mining, Machine Learning, and cloud technologies like Databricks.
• Experience in agile delivery, Lean/Six Sigma methodologies, and statistical analysis tools.
• Background in Airport Operations, Customer Service, or Data Strategy.