Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead marketing analytics and develop insights for impactful campaigns.
- Company: Join Coca-Cola, a global leader in sustainable growth and innovation.
- Benefits: Enjoy competitive pay, annual incentives, and a culture of inclusivity.
- Why this job: Be part of a dynamic team driving consumer-centric marketing strategies.
- Qualifications: 5+ years in data science or marketing analytics; strong leadership skills required.
- Other info: Must be authorised to work in the UK; no visa sponsorship available.
The predicted salary is between 104000 - 123000 £ per year.
The Coca-Cola Company has been on a journey to build a networked global organization across more than 200 countries, combining the power of scale and deep local knowledge to drive sustainable growth. A critical component of this networked organization is Enterprise Services which provides enterprise-wide solutions and services. This role is within the Marketing, CCL & PACS Intelligence (MCPI) team, focusing on transforming global Marketing Communications Insights and Measurement. The position aims to enhance consumer-centric and data-driven marketing intelligence to enable distinctive marketing experiences and campaigns.
The Senior Manager, Global Marketing Communications and End-to-End Experiences Intelligence will develop and implement diagnostics for advertising and consumer experiences, working closely with stakeholders like Human Insights, IMX/Connections, and Global Categories. Responsibilities include managing data sources, leading measurement systems, and influencing decision-making through insights. While it may not have direct reports, it holds significant influence through project leadership. This role is a key member of the MCPI team within the Global Enterprise Services organization.
What You’ll Do for Us:
- Serve as marketing analytics subject matter expert for Campaign/Media Research Protocols; ensure statistical rigor and best practices to uphold data integrity and provide trustworthy insights.
- Establish a standardized data foundation; promote adoption of taxonomy and tagging protocols, develop schemas, and automate data ingestion and quality checks.
- Manage external data partnerships; evaluate new technologies, negotiate with vendors, and ensure proper data governance.
- Design and deploy predictive analytics products; including uplift models, media mix modeling, and AI tools to improve campaign effectiveness.
- Enable evidence-based decisions; create recommendation engines and scenario planning tools to optimize media investments.
- Provide advanced analytics for categories or units; interpret data and recommend actions to drive ROI.
- Document and share data science best practices; foster adoption across teams.
- Lead cross-functional teams; coordinate data engineers, analysts, and partners to build analytics solutions.
- Foster a culture of innovation; promote high performance, inclusivity, and continuous learning.
Qualifications & Requirements:
- Seeking a collaborative leader with strong interpersonal skills, thriving in fast-paced, ambiguous environments, capable of inspiring teams and communicating complex ideas clearly.
- Technical Leadership & Strategy: Deep expertise in causal inference, uplift modeling, media mix modeling, LLM applications, and machine learning frameworks. Proficiency in SQL, Python, R; experience delivering scalable analytical solutions.
- Business Impact & Governance: Experience in data governance, privacy frameworks, and quality monitoring. Proven ability to implement enterprise BI tools like Power BI.
- Cross-Functional Leadership: At least 3 years managing external teams or partners, mentoring talent. Vendor management and strategic partnership experience.
- Strategic Communication & Innovation: Ability to communicate complex insights to executive audiences. Build cross-functional relationships to foster innovation. Demonstrate entrepreneurial mindset and strategic thinking.
Work Experience: At least 5 years in data science, marketing analytics, or media measurement, with enterprise-scale leadership experience.
Education: Bachelor’s degree required; Master’s preferred (e.g., MBA, MS in Data Science or related fields). Commitment to ongoing learning in AI/ML and data science trends.
The Coca-Cola Company does not sponsor work visas for this role. Applicants must be authorized to work in the US.
Skills: Advanced Analytics, Business Intelligence, Campaign Development, Data Science, Data Visualization, Cross-Functional Leadership, Vendor Management, Strategic Communication, Innovation.
Pay Range: $130,000 - $147,000 Annual Incentive: 15%
Senior Manager, Global Marketing Communications and End-to-End Experiences Intelligence employer: Coca Cola
Contact Detail:
Coca Cola Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Global Marketing Communications and End-to-End Experiences Intelligence
✨Tip Number 1
Familiarise yourself with the latest trends in marketing analytics and data science. Being well-versed in causal inference, uplift modelling, and machine learning frameworks will not only boost your confidence but also demonstrate your expertise during discussions.
✨Tip Number 2
Network with professionals in the marketing analytics field, especially those who have experience with enterprise-scale leadership. Engaging in conversations with industry experts can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your ability to communicate complex ideas clearly by preparing a few case studies or examples from your past work. This will help you illustrate your strategic thinking and cross-functional leadership skills during interviews.
✨Tip Number 4
Stay updated on the latest tools and technologies in data governance and business intelligence, such as Power BI. Being knowledgeable about these tools will position you as a strong candidate who can implement effective solutions for the role.
We think you need these skills to ace Senior Manager, Global Marketing Communications and End-to-End Experiences Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing analytics, data science, and leadership. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with the responsibilities. Mention specific projects or achievements that showcase your expertise in causal inference and media mix modelling.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and R in both your CV and cover letter. Provide examples of how you've used these tools to deliver scalable analytical solutions in previous roles.
Highlight Leadership Experience: Emphasise your experience in managing cross-functional teams and external partnerships. Share examples of how you've mentored talent and fostered innovation in fast-paced environments.
How to prepare for a job interview at Coca Cola
✨Showcase Your Analytical Expertise
As a Senior Manager in Global Marketing Communications, it's crucial to demonstrate your deep understanding of marketing analytics. Be prepared to discuss specific projects where you've applied causal inference, uplift modelling, or media mix modelling, and how these contributed to campaign success.
✨Communicate Complex Ideas Clearly
This role requires the ability to convey complex insights to executive audiences. Practice explaining your past work in a straightforward manner, focusing on the impact of your findings and recommendations on business decisions.
✨Highlight Cross-Functional Leadership Skills
Since you'll be leading cross-functional teams, share examples of how you've successfully collaborated with data engineers, analysts, and external partners. Emphasise your experience in mentoring talent and fostering a culture of innovation.
✨Prepare for Technical Questions
Expect questions related to SQL, Python, R, and enterprise BI tools like Power BI. Brush up on your technical skills and be ready to discuss how you've used these tools to deliver scalable analytical solutions in previous roles.
