Principal Product Manager, Privacy & Consent

myGwork
Glasgow
3 months ago
Applications closed

Related Jobs

View all jobs

Data Architect New York (Basé à London)

Principal Data Scientist / AI Engineer

Principal Data Scientist – Operational Research, Simulation & ML (Basé à Hounslow)

Change Manager

Senior Data Engineer (Azure Synapse) - London

Data Engineer

This job is with Skyscanner, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Overview

Skyscanner is looking for a strategic and experienced Principal Product Manager to lead our Privacy & Consent domain, partnering closely with our PrivTech engineering team to advance industry-leading privacy practices. This role will play a key part in Skyscanner's commitment to pioneering best-in-class privacy standards in travel, focusing on trust, transparency, and user empowerment in our digital ecosystem.About The Role

The Principal Product Manager will own a significant and complex area of Skyscanner's product landscape, driving initiatives that ensure robust compliance, user trust, and transparency in how we handle privacy and consent. This position will involve developing and executing strategies for Privacy & Consent across cross-functional teams, empowering them to deliver measurable outcomes at scale.Key Responsibilities:Strategic Leadership in Privacy and Consent Management : Develop and lead the Privacy & Consent product strategy, including designing systems for tracking, consent management, and data retention that enhance user trust and meet stringent regulatory requirements.Cross-Functional Collaboration : Work closely with Engineering, Legal, and Product teams to embed privacy-by-design principles across product features, maintaining alignment with Skyscanner's broader strategic objectives.Data Framework and Compliance : Lead the development of frameworks to support regulatory compliance (e.g., GDPR), manage user data rights (DSAR), and facilitate data audits while ensuring robust data architecture and pipeline integration.Building User Trust and Transparency : Drive initiatives that enhance transparency in Skyscanner's data handling practices, from cookie management to data usage disclosures, working with UX/UI teams to ensure clarity for end users.Support External Stakeholder Engagement : Collaborate with legal and commercial teams in external engagements with regulatory bodies and partners, providing product insights that support Skyscanner's privacy standards and compliance goals.Ownership of KPIs and Performance Metrics : Define and measure key performance indicators (KPIs) to track success, such as user trust metrics, compliance benchmarks, and transparency goals. Continuously assess progress and adjust strategies to align with Skyscanner's mission.Leadership and Team Empowerment : Foster a culture of innovation and collaboration within cross-functional teams, mentoring team members and instilling best practices in agile product development.Key Skills and Experience:Product Management Expertise : 5+ years of experience in product management, with proven success in tackling complex challenges in online tracking and privacy.Regulatory Knowledge : Strong familiarity with data privacy laws like GDPR, ensuring Skyscanner's practices meet regulatory standards while fostering user trust.Preferred Skills : Experience with consent management platforms, data architecture, and user-facing product development, particularly within high-compliance industries.Cross-Functional Influence : Exceptional stakeholder and project management skills, with a demonstrated ability to communicate effectively and influence teams at all levels, from engineering to executive leadership.Strategic Problem Solving : Adept at autonomously solving ambiguous and previously unaddressed business challenges, employing data-driven decisions and an analytical mindset to identify and act on growth opportunities.Technical Understanding : Sufficient background to collaborate effectively with engineering teams, facilitating discussions around data integration, architecture, and agile processes.Continuous Improvement Mindset : Confident in applying a lean and agile approach, testing and iterating quickly, and scaling successful solutions across the organization.Why You'll Love This Role

This is a unique opportunity to make a tangible impact on how Skyscanner protects user privacy and builds trust with travelers. You'll be a cultural ambassador for privacy-first values, shaping the future of data management in travel while developing your leadership in a rapidly evolving domain.

Following extensive surveys and workshops around our teams needs and preferences, we've returned to our offices in a hybrid working pattern: typically that looks like two days in the office, flexible to an individual's need. As such, this role would be a great fit for someone who lives within commuting distance of one of our Scotland and Barcelona offices.

#LI-SM2#LI-Hybrid#LI-DNI

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.