Product Manager Data Ingestion

Accelerant
3 months ago
Applications closed

Related Jobs

View all jobs

Head of Data

Data Engineer

Quantitative Researcher - Climate Indexes

Sr. Delivery Consultant - Data Architect, ProServe SDTNorth

Commercial Controller Business Process

Investments Data Analyst

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.

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.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.