VP Global Platform Engineering, Personalization

Key Skills

Aartificial intelligence, Big Data Technology, Data Analysis, Data science techniques, Effective communication skills, Machine learning techniques, Product Management, Project management

Job Description

The Position

Peacock’s Personalization & Data teams allow users to view content as quickly as possible and provides up to date data analytics for our business and data stakeholders. The team identifies, builds, and optimizes a variety of machine learning and recommender models that power personalization across the experience, storing multiple data inputs for a wide range of analytical reports. Working closely with this team, we are looking for a seasoned delivery leader, who can combine exceptional engineering expertise with strong relationship management skills and industry knowledge. This person will ensure consistent execution of an ambitious roadmap to deliver key initiatives and programs to continually enhance our personalization experience and data capability.

Essential Functions (Responsibilities)

• Lead the development and implementation of the engineering strategy for data and personalisation.
• Manage a team of engineers responsible for building and maintaining recommendation algorithms, big data platforms and infrastructure at scale.
• Experience managing large global teams of over 200 engineers.
• Develop and oversee implementation of data-driven approaches, data analytics, personalization, including machine learning, A/B testing and other AI techniques.
• Ensure data and personalisation services operate to the highest level of resilience and performance.
• Collaborate with Decision Sciences, Data and Product management teams to ensure data and personalisation efforts align with broader business goals.
• Identify and implement new technologies and processes that improve the efficiency and effectiveness of data and personalization efforts.
• Monitor and analyse performance metrics related to data and personalization efforts and provide regular reporting and recommendations to senior management.
• Stay current with industry trends and best practices related to data and personalization and incorporate them into our strategy
• Demonstrated ability to communicate with and respond to the needs of stakeholders including ability to write clear, concise, comprehensive documents tailored to both technical and business audiences.
• Build consensus across business units, think creatively, and collaborate with executives to address business needs.
• Successfully operate within a highly matrixed work environment with multiple stakeholders and able to oversee multiple projects and initiatives concurrently.
• Exceptional collaborator with proven ability to work effectively across all parts of the organization. Leads the team to operate in the same way.
• Demonstrates high level of business acumen and thought leadership including strong influencer skills across multiple areas, businesses, and leaders.

Qualifications

Required Qualifications

• 10+ years of experience in software engineering or data science, with at least 5 years in a management or leadership role.

Desired Characteristics

• Deep understanding of big data, machine learning and recommendations, and highly scalable distributed systems.
• Real world experience with implementing a big data or a personalization strategy, from inception to real world operation.
• Excellent analytical skills and experience with data analysis and reporting.
• Superb communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to operate in a fast-paced, dynamic environment with shifting priorities and competing demands.
• Demonstrated flexibility, creative thinking, and attention to detail. Can-do, hands-on attitude.
• Excellent communication (written and verbal), organizational, project management, and problem-solving skills.
• Experience in content streaming a plus.
• Degree in Computer Science, Engineering, Mathematics, or a related field.