National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Integrated Marketing Manager

Verisk
London
8 months ago
Applications closed

Related Jobs

View all jobs

Junior Machine Learning Engineer - AI startup

Data Analyst

Senior Data Analyst

Data Engineer

Machine Learning Engineer

Machine Learning Engineer

Job Description

We’re looking for an ambitious and drivenIntegrated Marketing Managerready to apply their expertise in marketing strategy and execution for a marketing team within a fast-paced publicly traded company. You’ll have a proven track record in developing and executing multi-channel B2B marketing campaigns by coordinating with key stakeholders across product, sales, and sales enablement to meet revenue goals. You’ll exhibit a deep understanding of markets and customers to lead go-to-market strategy for successful product launches.

The Integrated Marketing Manager will drive the international marketing strategy and execution for the Extreme Events Solutions business, in full alignment with the global Extreme Events Solutions marketing team. You’ll be working with a group of accomplished high-level professionals while deepening your knowledge and skills with an ever-expanding breadth of projects.  You will apply your talent in communicating the value of Extreme Events solutions to international audiences and enjoy collaborating and building relationships with colleagues and clients.

Responsibilities

  • Market & Competitive Intelligence– Leverage market trends, customer behaviors, competitor information to provide actionable insights that inform integrated positioning, messaging, and campaign strategies.
  • Customer Journey– In collaboration with cross-functional stakeholders, utilize proprietary and third-party research to refine target personas, buyer needs, and purchasing decision processes.
  • Marketing Strategy– Lead/ participate in defining the market opportunity for a business area through a comprehensive understanding of business goals, solution portfolios, roadmaps, and pricing models.
  • Campaign Development- Spearhead the planning and execution of high-impact marketing campaigns based on data insights, including oversight of messaging calendars, campaign budget management, and post-campaign performance evaluations.
  • Messaging & Positioning– With minimal guidance and demonstrating a solid understanding of the product/solution, draft marketing campaign briefs and messaging guides that capitalize on business opportunities to build strong marketing outcomes.
  • Sales Enablement– Collaborate closely with Sales and key marketing stakeholders to deliver compelling sales aids and consistent tradeshow experiences to create and advance sales pipeline opportunities.
  • Thought Leader– Understand the "big picture," taking initiative to deliver project assignments on time and budget while effectively navigating outside the formal span of responsibility.


Qualifications

  • BA in marketing, communications, or related field
  • 7+ years of integrated, product or channel marketing experience
  • Demonstrated success with developing marketing strategy and executing across cross-functionally across multiple marketing teams.
  • Proven understanding of the insurance industry is a plus.
  • Proven track record of leveraging customer, market and competitive to inform marketing and product strategy decisions.
  • Successful track-record of collaborating with Product Management and Sales across multiple seniority levels to deliver on key business objectives.



Additional Information

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland.  We value learning, caring and results and make inclusivity and diversity a top priority.  In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong.  We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

 

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

#LI-Hybrid

#LI-WR1

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.