Vista Global

Data Product Manager

Requisition ID
Fort Lauderdale
Position Type
Permanent Full-Time
Work Base

Job Profile

About Vista

Vista Global Holding provides worldwide business flight services. A global group headquartered at the DIFC in Dubai, Vista Global integrates a unique portfolio of companies offering asset-light services to cover all key aspects of business aviation: guaranteed and On Demand global flight coverage; aircraft leasing and finance; and cutting-edge aviation technology.


About the team 

The Product Management team at Vista Global is a centralized function that includes Product, Data Science, Analytics and Program Management. We take ownership and are accountable for getting things done. Through curiosity, learning, and coaching, we grow as individuals and teams. As one of our product leaders says, we are a problem-solving club.


What’s in it for you

This role is a leadership role with strong individual contributions towards building data governance, managing the flow of this data within Vista, securing it, ensuring everybody is allowed can access it, and bridging the reporting systems trusted by customers, executives, and shareholders.

You will be working on some really challenging problems in the private aviation industry. You will be working with Design, UX, Data Engineering, Data Science Team, Engineering, Product teams, and Leaders from Sales & Marketing to convert ambiguity into the structure.

Your Responsibilities

  • Partner with the Enterprise Information and Data / Solution Architecture community to influence Enterprise Architecture ensuring enterprise solution blueprints fully reflect data governance-by-design and privacy-by-design.
  • Work with data stakeholders from across the company to evolve core reporting and prioritize analytics requests, centralize core metrics definitions, and establish a world-class data governance framework.
  • Partner with your cross-functional teams (Marketing, Sales, Operations, Engineering, Analytics, Data Science, Product, Performance Marketing, and Finance) to deliver a data & metrics ecosystem that is accessible, reliable, and timely.
  • Take ownership of the data visualization layer to ensure core metrics are easily accessible, accurate, well-defined, and easily understood.
  • Deliver data tools or automation solutions to minimize the extent of ad-hoc requests and the necessity for ad-hoc analysis.

Required Skills, Qualifications, and Experience

  • Strong SQL skills
  • 5+ years of experience at the intersection of data engineering, and data strategy, building data tools and infrastructure, and 2 years of relevant data product manager experience.
  • Master's degree in science, computer science, statistics, economics, mathematics, or a similar quantitative discipline.
  • Expert knowledge of data platform architectures in the context of a complex landscape of critical transactional and analytical systems. Deep understanding of APIs, data integrations, and data visualization tools (i.e. Tableau).
  • Strong leader and strategic thinker with the ability to build and inspire teams and develop relationships with multiple stakeholder groups to drive adoption and deliver expected benefits.
  • Willing to get your hands dirty to bring clarity to complex data infrastructure and prioritization decisions, Comfort working with messy data with a drive to improve it.
  • Have experience collaborating across data engineering and cross-functional stakeholders in product and finance.
  • Demonstrable experience changing company trajectory through technical, data-driven projects, insights, and tools.


Good to have –

  • Experience working with MarTech tools such as A/B Test Platforms, Consumer Identity management, customer data platforms, tag management platforms, data management platforms, customer experience analytics platforms, web analytics tools, and customer feedback platforms.
  • Specific experience with some of the following required: Segment, Salesforce Marketing Cloud, Salesforce Sale Cloud, Google Marketing Suite, Mixpanel, Braze, Google Analytics, and Snowflake.



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