What you’ll be doing...

We have an immediate need for a Product Manager to cover Business Intelligence and Data Analytics within the Smart Company function of our Data Products team.

In this role, you will leverage your experience delivering data analysis and business insights to all levels of an engineering and product organisation. You will be responsible for shaping and delivering our Smart Company strategy and driving the work performed by 10 data science and analysis experts across multiple locations.

Reporting to the Product function in Data Products, you will be working closely with Engineering, UX and the Business to research, define and deliver next generation analytics and insights.

  • Actively build customer relationships, understand business goals and pain points and represent the internal and external customer’s voice on a daily basis.
  • Be an authority on market trends, emerging technologies and competitive landscapes for business intelligence and data analytics in a SaaS or comparable subscription business.
  • Understand and influence the product vision and strategy based on the needs of our customers and of our growing business.
  • Establish a shared product vision by building consensus on priorities, including executive stakeholders and cross-functional teams.
  • Partner closely with UX & Design to translate product vision and strategy into a great customer experience.
  • Create and groom Epics, Stories and Tasks aligned to the priorities and vision.
  • Embrace our Lean philosophy and look to drive continuous improvement, reducing lead time for our customers.
  • Work on internal product positioning including articulating customer problems and solutions and partnering with stakeholders across the organisation to execute on the Smart Company Vision.
  • Assist with other Product Management responsibilities as needed.

What we’re looking for...

You'll need to have:

  • Bachelor’s degree or relevant work experience.
  • Experience coordinating Agile epics, stories and tasks.
  • Experience with best practices around source control, test automation, CI/CD in the context of data analysis and data science.
  • Experience with data analytics technology (e.g. SQL, Python, Tableau, Redshift).
  • Experience performing customer research to inform product decisions.
  • Knowledge of global data privacy legislation and best practices.
  • Experience working closely with Software Engineering and UX / Design teams.

Even better if you have:

  • Bachelor’s degree in Business/Commerce, Computer Science.
  • MSc in Data Analytics or similar.
  • Five or more years of experience with increasing levels of responsibility for delivering Business Intelligence and Data Analysis; ideally within a subscription business with software and hardware components.
  • Two or more years of which are as a Product Owner, Product Manager or BI Manager.
  • Experience with Data Products, AI, Machine Learning and Big Data.
  • Attention to detail and strong organizational skills.
  • Hard working, self-starter abilities with the capability of learning quickly.
  • Excellent interpersonal, communication, presentation, and writing skills with demonstrated leadership abilities.
  • Knowledge of modern development technologies and languages.
  • Experience working with Telematics.
  • Experience working on next generation IOT and/or Mobile products.
  • Experience working on SaaS and Mobile products.

When you join Verizon...

You’ll have the power to go beyond – doing the work that’s transforming how people, businesses and things connect with each other. Not only do we provide the fastest and most reliable network for our customers, but we were first to 5G - a quantum leap in connectivity. Our connected solutions are making communities stronger and enabling energy efficiency. Here, you’ll have the ability to make an impact and create positive change. Whether you think in code, words, pictures or numbers, join our team of the best and brightest. We offer great pay, amazing benefits and opportunity to learn and grow in every role. Together we’ll go far.