Senior Product Manager, CRM

GlaxoSmithKline
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Analyst

Senior Data Analyst

Data Engineer

Data Engineer

Senior Data Engineer

Site Name:UK – London – New Oxford Street
Posted Date:Dec 19 2024

We are seeking an experienced Global Product Owner to lead our Veeva CRM. The new Veeva Vault CRM is an enterprise customer relationship management application for biopharma companies. It connects sales, marketing, medical, with a single customer database supporting the field execution. Vault CRM enables key capabilities such as customer profiling, content sharing and management, territory and account planning, sampling, and recording field engagement. The ideal candidate will take accountability for identifying opportunities for growth and innovation, ultimately driving a product vision, strategy, and corresponding roadmap for Veeva Vault CRM. They will lead product discovery by leveraging data, research, and market analysis, then liaising with stakeholders and working closely with cross-functional teams throughout the software development life cycle to ensure effective rollout of new features in markets all over the world.

Veeva Vault CRM is part of the field experience product portfolio, which will focus on bringing together data and technology capabilities to allow for the organization to become data-driven and insight-led in every decision to drive revenue and growth. This Senior Product Manager role plays a key role within the broader field experience team focusing on orchestrating better customer relationships whilst collaborating with other product teams to enhance the end-to-end experience of field teams.

In this role you will:

  • Manage the global Veeva CRM product backlog, prioritizing features and enhancements based on business value and strategic alignment.
  • Collaborate with stakeholders across markets to gather requirements and ensure the CRM system meets diverse regional needs.
  • Work closely with the development team to define user stories, acceptance criteria, and product specifications.
  • Serve as the primary point of contact for Veeva CRM related queries and issues from global markets.
  • Analyze CRM performance metrics and user feedback to identify areas for improvement.
  • Ensure compliance with industry regulations and GSK policies across all markets.
  • Facilitate communication between technical teams, business stakeholders, and end-users to deliver best-in-industry features whilst driving deep adoption amongst field teams.
  • Stay current with industry trends and emerging technologies in the pharmaceutical sales and marketing space.

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

  • Bachelor's degree in Business, Computer Science, or related field; MBA preferred.
  • Significant experience in product management or similar role, preferably in the pharmaceutical industry.
  • In-depth knowledge of Veeva platforms, specifically the field teams planning workflows.
  • Experience working with global teams and managing cross-cultural communication.
  • Excellent project management and organizational skills.
  • Strong analytical and problem-solving abilities.
  • Exceptional communication and presentation skills.
  • Agile/Scrum certification (e.g., CSPO) preferred.

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

  • Experience with data analytics and business intelligence tools.
  • Knowledge of machine learning and AI applications in pharmaceutical sales.
  • Familiarity with regulatory requirements in multiple pharmaceutical markets.
  • Experience with pharmaceutical sales.

If you're passionate about driving innovation in pharmaceutical sales and have a track record of successful product management in a global context, we encourage you to apply for this exciting opportunity to lead our Global Veeva Vault CRM program at GSK.

Closing Date for Applications:Friday 17th January 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

#J-18808-Ljbffr

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.