Data Product Manager - Flights & Emissions

Cirium
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

About the business:At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium here: https://www.cirium.com

About our team:We’re seeking an innovative and driven Data Product Manager to join our global Data Governance team. This team is responsible for owning, managing, and applying proper governance over our foundational datasets from which Cirium builds our products and services. We work closely with Product, Technology, Sales, and Marketing teams to ensure our foundational data is fit for purpose, properly governed, and data quality standard are applied and understood. Your role will be to ensure our data is properly understood, fit for purpose, and available for product teams to innovate and deliver new products and services to market that not only meet but exceed customer expectations.


About the job:As a Data Product Manager at Cirium, you will be merging data lifecycle management and technical proficiency with commercial acumen to shape how we leverage our data and be a champion of data governance. You will be accountable for foundational datasets from which we build our products and services. On a day-to-day basis you will ensure the data you manage is properly governed, fit for purpose, data quality thresholds and targets are well understood and adhered to, alignment with our data initiatives and business goals, and fostering a data-driven culture.


About you:

  • You understand data. You have experience working with and owning complex datasets, where you have collaborated with multiple stakeholder and software development team using Agile methodologies.
  • You know product management. You have an understanding of product management and have experience developing product roadmaps (ideally with data products) and articulating that roadmap to many different types of stakeholders.
  • You understand Data Governance. Many internal and external customers will access the data you manage. You will have experience with implementing data governance frameworks and governing data inclusive of data access, data cataloguing, data modelling, metadata, data legislation and data documentation.
  • You are a skilled and proactive communicator. We are a diverse, global team and you need strong verbal and written communication to convey your data vision, roadmap, and progress. You know the right tool for the job whether it’s managing the day-to-day cadence of projects or building cross-company momentum around a data projects.
  • You have ample technical and analytical skills. While you may or may not know how to code, you have the technical know-how to analyse data. You use your technical context to make better data driven decision.
  • You are confident in customer facing environment. You are confident at explaining data value, governance and quality in virtual and face-to-face customer interactions.


Responsibilities:

  • Having In-depth knowledge and a sound business understanding of the data domain you own
  • Making decision around your data domain on access, usage, data quality, publishing new data, and policy compliance
  • Maintaining a strategic data roadmap, gathering requirements from appropriate stakeholders, and communicating data improvements delivered from the roadmap back to the business
  • Acting as senior stakeholder with the appropriate technical squads to ensure that items from the data roadmap are added to appropriate squad backlogs, prioritized, and delivered
  • Populating and maintaining Cirium Data Governance Platform for assigned data domain (definitions, business glossary's, linage, taxonomy, etc)
  • Being accountable for ensuring data quality thresholds and targets are understood and met on assigned foundational data domain
  • Managing stakeholders and acting as the bridge between IT and business units to maintain data integrity across the entire data lifecycle
  • Owning and running monthly Data Management Group sessions for assigned data domain
  • Supporting sales with key customer interactions

Qualifications:

  • Demonstrate experience working in a complex data environment and with data as a product
  • Have a solid understanding of data governance frameworks
  • Have a solid understanding on data analysis and approaches used to make data drive decisions
  • Demonstrate proficiency in various technologies to assist day-to-day tasks with a strong emphasis on JIRA knowledge preferred
  • Have active experience in successfully managing and maintaining complex datasets
  • Have a good understanding of agile software development methodologies like Scrum
  • Demonstrate excellent product management skills
  • Have effective communication and stakeholder management skills
  • Have previous experience with Collibra is preferred but not essential

Learn more about the LexisNexis Risk team and how we work here

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.