Product Manager Data Ingestion

Accelerant
1 year ago
Applications closed

Related Jobs

View all jobs

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure

Lead Data Engineer AWS Snowflake

Head of Data Engineering (Manchester/Hybrid, UK)

Head of Data Engineering (Manchester/Hybrid, UK)

Head of Data Engineering

Product Manager Data Ingestion


At Accelerant, we are revolutionizing the insurance industry through our business-critical Risk Exchange platform, which processes and handles mission-critical financial data for participants across the insurance ecosystem. As a Product Manager focused on data ingestion at Accelerant, you will be responsible for helping to support the overall Strategic Direction and Vision for the Accelerant product portfolio. You will play a significant role in revolutionizing the insurance industry through a relentless focus on increasing the data volume, data quality, and data transparency on the Accelerant Risk Exchange Platform. Your expertise will drive strategic initiatives, ensuring that our data products surpass industry standards for accuracy, integrity, and reliability resulting in high value to the organization.


How you will spend your time:


  • You will focus on delivering value to the participants of the Accelerant Risk Exchange (both internal and external) through the ingestion of that results in data products that solve real world challenges, enable data-driven business decisions, and provide unparalleled insight
  • Working with other Product Managers, members of R&D, architecture and Design to ensure the delivery of high value, high quality, and differentiated solutions that delight our users leveraging product-led best practices
  • Work closely with analytical engineers to prioritize and refine a well-defined backlog aligned with the company’s Objectives and Key Results (OKRs) while delivering measurable business value
  • Working directly with Risk Exchange participants (internal and external) to understand their business challenges and translating those into product requirements
  • Collaborate seamlessly with actuaries, data scientists, data engineers, data analysts, and other data consumers throughout Accelerant, serving as a liaison between business needs and technical capabilities
  • Collaborating throughout Accelerant to define and deliver commercially successful products and services that advance the strategy of our company and increase the value of the organization
  • Champion a culture of continuous improvement as it pertains to data within the P&T team and the broader organization. Proactively identify opportunities for optimization and enhancement


You will be successful if you have:


  • Strong understanding of data and data best practices resulting in high-quality data products producing value to an organization
  • Experience in solving data challenges including the ability to query data
  • Familiarity with data science concepts, statistical analysis, and machine learning principles
  • Experience in managing and analyzing data across multiple platforms, ensuring data integrity, and optimizing data workflows
  • Outstanding communication skills, especially the ability to work closely with experts in different domains, understand their needs, and translate them into data requirements.
  • Proven ability to work collaboratively with cross-functional teams
  • Analytical and problem-solving skills to address challenges related to data quality, product development, and user experience
  • Highly proactive with ability to independently driving initiatives
  • High degree of accuracy, attention to detail, and sense of urgency in a fast-paced, high performance environment
  • Experience working with and managing geographically distributed engineering teams.
  • Demonstrated success working with C-level executives
  • Commitment to ongoing learning and staying informed about emerging technologies, industry trends, and best practices
  • A big-picture perspective with a passion for success and willingness to dive into the details necessary to achieve it
  • Previous experience in Insurance or Finance markets delivering Insurtech or Fintech solutions a plus


You will thrive if you are:


  • Problem solver and critical thinker with the skills to gain commitment and collaboration from individuals throughout the organization that do not directly report to you
  • Comfortable in a fast-paced and constantly changing environment
  • Able to work with, and gain the trust and support of individuals throughout the organization
  • Willing and eager to work hard, and able to balance conflicting schedule demands


Enjoy our comprehensive benefits package designed to meet your diverse needs and support your well being:


Work-life balance: We believe that taking time to rest and recharge makes us all better. That’s why we offer flexible time off and encourage our team to take the time they need to prioritize their health and well-being.


Health and wellness: We offer high-quality health, dental, and other benefits to ensure our team members have access to the care they need.


Remote work: Work where you’re most productive and fulfilled. This position is open to remote

candidates across the U.S., Canada, and the UK, who have the flexibility to work with our teams distributed across Europe and North America. Most cross-team collaboration happens in the mornings of the Eastern Time Zone.


Travel: We value face-to-face connections and believe that in-person interactions can enhance collaboration and build stronger relationships. Travel is a part of your role, with opportunities to connect with your team and our Members in-person. At Accelerant, we recognize that a diverse and inclusive workplace is critical to our success. We welcome and encourage applications from candidates of all backgrounds, experiences, and perspectives. If you believe you have the necessary skills and experience to excel in this role, we encourage

you to apply.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.