Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Commercialisation and Omnichannel Excellence Lead

Sobi
Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

UCI Policy Data Scientist (Fixed Term)

UCI Policy Data Scientist (Fixed Term)

Policy Data Scientist - Innovation & Knowledge Transfer

Data Engineer

Data Engineer

RWE Senior Data Analyst

Job Description

We are seeking a visionary and experienced Commercialisation and Omnichannel Excellence Lead to join the regional team. This new role will bring together a broad set of capabilities that will innovate and improve our customer journey model. It will be pivotal in driving implementation of the product global strategies and the excellence in execution processes for new product launches and on-going activities with global teams. Supporting the region(s) in their journey of channel maturity and integration across the customer journey, ultimately enhancing omnichannel engagement via the seamless integration of digital and traditional channels.

Key Responsibilities:

  • Develop and implement commercial strategies to maximize market reach and improve patient outcomes.
  • Serve as the Commercialization & Omnichannel Excellence Representative in the European Leadership Team providing guidance and leadership in all commercial excellence processes to the Genera/Country Managers, BUDs and Brand Managers.
  • Enhance omnichannel engagement by integrating digital and traditional marketing channels. Stay up to date with the latest technology and best practices. Anticipating and piloting future capabilities e.g. GenAI & pattern recognition via Machine learning
  • Deploy and manage digital channel maturity, capable of measuring ROI (both top line and bottom-line impact) and setting appropriate KPIs.
  • Foster a culture of excellence and continuous improvement within the organization. Collaborate with internal and external stakeholders to drive strategic initiatives.
  • Shape training programs and Key Account approach to deliver excellence in customer journeys. Operational leadership of Account management, Business acumen and culture of performance.
  • In collaboration with the affiliate business units, Training and Business operations, develop and implement clear excellence in operational processes and tools to enable the effective and efficient delivery of key activities for all customer facing colleagues.
  • Leading and developing a team of above country digital leads to deliver on channel deployment and utilisation. Sharing best practices across Global Brand team and affiliates
  • Build strong network with teams in Training and learning development, IT/ CRM Veeva, Medical Affairs, Marketing and other relevant departments to anticipate and support product commercialization activities


Qualifications

Experiences:

  • Over 10 years of proven experience in commercial strategy and implementation of omnichannel marketing within the pharmaceutical industry
  • Experience in successfully launching new products in a regional capacity
  • Consultancy background and experience of change management projects across pharmaceutical companies
  • Multiple examples of moving from vision to implementation
  • Engineering, financial or statistical educational background

Competencies:

  • Ability to work effectively across diverse markets and cultures.
  • Excellent communication and interpersonal skills
  • Strong leadership and team collaboration skills
  • Passion for advancing healthcare and improving patient outcomes

Join us in our mission to transform healthcare and make a meaningful impact on patients' lives globally.



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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.