ROLE

Senior Product Lead

Join people who are bright, curious and strive to make a meaningful impact

At Datasparq, we put our people first. After all, it's our people that make our business special.

Want to hear what it's like to work at Datasparq? Check out our Glassdoor reviews by clicking on the link below.

Find us on Glassdoor.

About the Role

Datasparq Product Leads…

  • are organised, pragmatic, and action-oriented
  • love working in multidisciplinary teams alongside engineers, data scientists and sales and marketing teams
  • believe in agile, incremental delivery to ensure value is being delivered at every step
  • try new things, evaluate, and stick with what works, sharing and promoting their learnings with colleagues
  • are excellent communicators and comfortable engaging with clients
  • are curious and questioning, they identify gaps before they become issues
  • are value-focused and always looking to deliver products and solutions which solve real customer problems
  • are passionate about the potential of AI/ML to create a positive impact.
  • are obsessed with User Experience and ensuring that products are used and loved by customers
  • have a good base of understanding of data and machine learning.
  • can articulate a vision for a product they look after and can cut through the noise of requirements and feature requests to zone in on what’s important.
  • have worked in great teams before, and know how to nurture a culture which delivers real value, quickly.

Responsibilities

Datasparq Product Leads…

  • lead development activities using agile methodologies including owning and prioritising the product backlog.
  • build and maintain positive client relationships from pre-sales through to delivery and managed service.
  • develop project proposals, assessing client opportunities and challenges through interviews and data analysis to develop cohesive AI/ML propositions
  • contribute to “SparQshops™”, our unique discovery workshop designed to identify, qualify and validate AI opportunities.
  • contribute to product strategy, working closely with their colleagues in the Product Management team.

Required Skills

Typically a Product Lead will have experience in some or all of the following:

  • use of agile delivery tools such as Jira/Confluence.
  • as an agile delivery lead (scrum master/project manager) responsible for running day to day delivery for a multidisciplinary team including software engineers and data scientists.
  • supporting the rollout of new products or services with clients/customers, helping to manage any cultural or business change to ensure they deliver the value promised.
  • as a Product Owner in an agile delivery team
  • as an engagement lead in a professional services company, responsible for leading client relationships and ensuring agreed scope is delivered on time and budget.
  • working in a product, delivery, or technical role which leans heavily on data, machine learning or AI.

Desirable Skills

About Datasparq

Datasparq is a boutique AI & data firm that solves complex business challenges.

We build bespoke AI and data science tools—and turn them into robust, reliable services for our clients.

We start with research and iterate—using lean startup principles—to quickly uncover impactful solutions to high-value challenges. Our product team ensure that we build the right solution in the right way. Our data science team ensure that the AI and data science solutions we build are best-in-class. And, our engineering team ensure that solutions are robust and ready to be deployed in the real world.

But—what’s special about Datasparq is the way our teams work together.

Just as no business challenge fits neatly into a box, neither do our people. Rather than simply hiring a data scientist or a data engineer, we seek out passionate experts who can bring a range of overlapping skills to any team. That gives us the ability to build the perfect team to solve any challenge. We believe in bespoke over one-size-fits-all.

We don’t just build ML models—we take our science from the broad spectrum of mathematics, statistics, operations research and computer science. We work with academic partners and Centres for Doctoral Training (CDTs) across the UK to ensure that what we do is founded on high-quality, up-to-date science.

When it comes to operationalising solutions, we can run data science products in the cloud as services for our clients—or deploy to their infrastructure as needed.

Diversity & ethics

As a company, we don’t just value diversity—we place it at the heart of what we do. To create solutions that serve our users—and our clients' users—diversity is a must, not a nice to have. Likewise, we place ethics at the heart of what we do. Our team are passionate about working on projects that drive positive results for people and the planet. We routinely undertake ethics reviews and champion a culture of openness, honesty and integrity.

Things you might like to see

Perks

Datasparq employees get these perks as standard.

AXA healthcare

The option to join our company healthcare plan

Monthly socials

Varied, lively socials every last Thursday of the month

Learning culture

Weekly (at least!) data science & engineering seminars

Flexible working

Work from our London office or at home

Ethics reviews

Regular ethics reviews to make sure our work is meaningful

D&I commitment

We have diversity, inclusion & wellbeing goals in our KPIs

25 days holiday

...with the option to buy 5 extra days

Dragon's Den

Vibrant startup culture; annual entrepreneurship competition

Labs

Developing our own tools like Houston and Xu

contact

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