π Core Information
πΉ Job Title: Senior Specialist, AI and Marketing Technologist
πΉ Company: Mastercard
πΉ Location: London, United Kingdom
πΉ Job Type: Full-time
πΉ Category: IT Services and IT Consulting
πΉ Date Posted: May 13, 2025
πΉ Experience Level: 5-10 years
πΉ Remote Status: On-site
π Job Overview
Key aspects of this role include:
- Managing AI-based solutions to enhance internal process efficiencies and optimize marketing operations.
- Developing AI-based tools, predictive models, and data-driven strategies for the marketing organization.
- Collaborating with data engineers to ensure the efficiency and scalability of the data pipeline for AI tool development.
- Ensuring data compliance, scalability, and security in all AI tools and datasets.
ASSUMPTION: This role requires a strong background in AI management and data analysis, with a focus on marketing technologies. The ideal candidate will have experience working with global teams and managing multiple workstreams.
π Key Responsibilities
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Help program manage AI-based solutions to enhance internal process efficiencies and optimize marketing operations.
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Simulate data environments and manage data extraction, transformation, and testing processes.
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Work to help develop βKnowledge basesβ for various AI bots.
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Manage the taxonomy development of data pools.
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Be responsible for creating trackable KPI frameworks.
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Ensure data compliance, scalability, and security in all AI tools and datasets.
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Working with Engineers and devs, ensure data and databases can be integrated into an Agentic structure.
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Design predictive and prescriptive models to improve marketing strategies, customer segmentation, and campaign optimization.
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Conduct statistical analysis and modelling to identify trends for performance optimization and resource allocation.
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Collaborate with data engineers to ensure the efficiency and scalability of the data pipeline for AI tool development.
ASSUMPTION: The role involves a mix of technical tasks, such as managing AI tools and developing predictive models, as well as collaborative work with data engineers and other teams.
π― Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, or a related discipline). A Master's degree would be an asset.
Experience: 5-10 years of experience in AI management, data analysis, and marketing technologies.
Required Skills:
- Proven experience managing AI knowledge bases and multiple workstreams.
- Strong proficiency in programming languages such as Python, R, SQL, or similar.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing.
- Experience in global roles working with teams in different locations.
- Experience in Agile process methodology and familiarity with Jira.
- Experience in scoping, running Vendor RFPs, and developing SOWs.
- Familiarity with cloud computing platforms (AWS, Azure) is advantageous.
- Strong verbal and written communication skills.
Preferred Skills:
- Familiarity with marketing verticals.
- Experience with specific AI tools such as Databricks, Mosaic AI, Co-Pilot, or Open AI.
ASSUMPTION: The required skills for this role are highly technical and specialized, with a strong focus on AI management, data analysis, and marketing technologies. The ideal candidate will have a proven track record in these areas.
π° Compensation & Benefits
Salary Range: Β£70,000 - Β£90,000 per year (based on industry standards for a Senior Specialist role in London)
Benefits:
- Competitive benefits package, including health insurance, retirement plans, and paid time off.
- Opportunities for professional development and career growth.
- Flexible work arrangements, with the possibility of hybrid or remote work.
Working Hours: Full-time position, typically Monday to Friday, 9:00 AM to 5:30 PM, with flexibility for occasional remote work.
ASSUMPTION: The salary range provided is an estimate based on industry standards for a Senior Specialist role in London. The actual salary may vary depending on factors such as experience, skills, and market conditions.
π Applicant Insights
π Company Context
Industry: Mastercard operates in the global payments industry, with a focus on digital payments and commerce. The company powers economies and empowers people in over 200 countries and territories worldwide.
Company Size: Mastercard is a large organization with over 10,000 employees globally. This size offers opportunities for career growth and exposure to diverse projects.
Founded: Mastercard was founded in 1966 and has since grown into a leading global technology company.
Company Description:
- Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
- The company supports a wide range of digital payments choices, making transactions secure, simple, smart, and accessible.
- Mastercard's technology and innovation, partnerships, and networks combine to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential.
Company Specialties:
- Global digital payments/commerce
- Technology
- Innovative mobile payment solutions
- Processing
Company Website: http://www.mastercard.com
ASSUMPTION: Mastercard is a well-established company with a strong global presence and a focus on innovation in the payments industry. The company offers opportunities for career growth and development in a dynamic and international environment.
π Role Analysis
Career Level: This role is at the senior specialist level, requiring a high degree of expertise and experience in AI management and marketing technologies.
Reporting Structure: The role reports directly to the VP of Global Digital Marketing (AI and Data) based in London.
Work Arrangement: This is an on-site role, with the possibility of occasional remote work or hybrid arrangements.
Growth Opportunities:
- Potential to take on more responsibilities and advance to a management role within the global digital marketing team.
- Opportunities to work on high-impact projects and collaborate with cross-functional teams.
- Access to professional development resources and training programs.
ASSUMPTION: This role offers opportunities for career growth and development within the global digital marketing team at Mastercard. The ideal candidate will be proactive, results-driven, and eager to take on new challenges.
π Location & Work Environment
Office Type: Mastercard's London office is a modern and collaborative workspace, with state-of-the-art facilities and amenities.
Office Location(s): 2000 Purchase St, Purchase, NY 10577, US (Headquarters); 2200 Mastercard Blvd, O'Fallon, MO 63368, US (Global Technology Center); and various other locations worldwide.
Geographic Context:
- London is a major global financial hub, with a vibrant tech industry and a diverse talent pool.
- The city offers a high quality of life, with numerous cultural attractions, restaurants, and entertainment options.
- London has a temperate maritime climate, with mild winters and warm summers.
Work Schedule: Full-time, typically Monday to Friday, 9:00 AM to 5:30 PM, with flexibility for occasional remote work.
ASSUMPTION: The work environment at Mastercard's London office is dynamic, collaborative, and innovative, with a strong focus on technology and digital payments. The ideal candidate will thrive in a fast-paced and international setting.
πΌ Interview & Application Insights
Typical Process:
- Online application and resume screening.
- Phone or video call with the hiring manager or HR representative.
- On-site or virtual interview with the hiring manager and relevant team members.
- Final round interview with senior leadership.
Key Assessment Areas:
- Technical skills in AI management, data analysis, and marketing technologies.
- Problem-solving abilities and strategic thinking.
- Communication and collaboration skills.
- Cultural fit and alignment with Mastercard's values.
Application Tips:
- Highlight relevant experience and achievements in AI management, data analysis, and marketing technologies.
- Tailor your resume and cover letter to emphasize your fit for this specific role and company.
- Prepare for behavioral and situational interview questions that focus on your problem-solving abilities, communication skills, and cultural fit.
- Research Mastercard's company culture, values, and recent projects to demonstrate your enthusiasm and preparation.
ATS Keywords: AI management, data analysis, marketing technologies, global role, multiple workstreams, cloud computing, machine learning, natural language processing, programming, collaboration, communication, problem-solving, strategic thinking, cultural fit
ASSUMPTION: The application process for this role at Mastercard is competitive and selective, with a strong focus on technical skills, problem-solving abilities, and cultural fit. Applicants should be prepared to demonstrate their expertise and enthusiasm for the role and the company.
π οΈ Tools & Technologies
- AI tools: Databricks, Mosaic AI, Co-Pilot, Open AI (nice to have)
- Programming languages: Python, R, SQL
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
- Cloud computing platforms: AWS, Azure
- Collaboration tools: Jira, Confluence, Slack
ASSUMPTION: The ideal candidate will have experience with the listed AI tools, programming languages, machine learning frameworks, and cloud computing platforms. Familiarity with collaboration tools such as Jira, Confluence, and Slack is also beneficial.
π Cultural Fit Considerations
Company Values:
- Doing the right thing
- Making it easier
- Partnering at the speed of life
- With you, not at you
Work Style:
- Collaborative and team-oriented
- Innovative and forward-thinking
- Results-driven and accountable
- Adaptable and resilient
Self-Assessment Questions:
- How have you demonstrated your commitment to doing the right thing in previous roles?
- Can you provide an example of a time when you made it easier for a team or client to achieve their goals?
- How have you partnered with others to achieve success at the speed of life in a previous role?
- Describe a situation where you worked with others to achieve a common goal, and how did you ensure that you were working with them, not at them?
ASSUMPTION: Mastercard values a collaborative, innovative, and results-driven work environment. The ideal candidate will be able to demonstrate their alignment with these values and work style preferences through their self-assessment responses.
β οΈ Potential Challenges
- Managing multiple workstreams and teams across different locations may require strong organizational skills and adaptability.
- Working with global teams may involve coordinating across different time zones and cultural contexts.
- The role may require occasional travel for meetings and conferences.
- Mastercard is a large organization with a complex structure, which may present challenges in navigating internal processes and building relationships.
ASSUMPTION: The ideal candidate will be proactive, adaptable, and resilient in the face of potential challenges, with strong organizational skills and a global mindset.
π Similar Roles Comparison
- This role is unique in its focus on AI management and marketing technologies within a global digital marketing team.
- Similar roles in other organizations may have a broader focus on marketing strategy or a more specialized focus on AI development or data analysis.
- Career progression in this role may lead to management or leadership positions within the global digital marketing team or related areas of the organization.
ASSUMPTION: The unique focus of this role on AI management and marketing technologies within a global digital marketing team sets it apart from similar roles in other organizations. The ideal candidate will have a strong background in these areas and a clear understanding of the specific requirements and opportunities of this role.
π Sample Projects
- Developing and implementing an AI-based tool to optimize marketing campaign performance and customer segmentation.
- Managing a team to create and maintain a comprehensive knowledge base for AI bots, ensuring data compliance and security.
- Designing and implementing a predictive model to improve marketing strategy and resource allocation based on historical data and trends.
ASSUMPTION: The ideal candidate will have experience with similar projects in previous roles and be able to demonstrate their ability to manage AI tools, develop predictive models, and ensure data compliance and security.
β Key Questions to Ask During Interview
- Can you describe the current AI tools and platforms used by the global digital marketing team, and how this role will contribute to their development and management?
- How does the global digital marketing team collaborate with other teams within Mastercard, and what opportunities are there for cross-functional collaboration in this role?
- What are the key priorities for the first 90 days in this role, and how can I contribute to their successful execution?
- How does Mastercard support the professional development and career growth of employees in this role and the global digital marketing team more broadly?
- What are the most challenging aspects of working in a global role, and how does Mastercard support its employees in navigating these challenges?
ASSUMPTION: The ideal candidate will be proactive and inquisitive, using the interview process to gain a deep understanding of the role, the team, and the organization. Asking thoughtful and insightful questions demonstrates engagement and enthusiasm for the opportunity.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link.
- Tailor your resume and cover letter to emphasize your fit for this specific role and company, highlighting your relevant experience and achievements in AI management, data analysis, and marketing technologies.
- Prepare for behavioral and situational interview questions that focus on your problem-solving abilities, communication skills, and cultural fit.
- Research Mastercard's company culture, values, and recent projects to demonstrate your enthusiasm and preparation.
- Follow up with the hiring manager or HR representative within one week of submitting your application to express your interest and reiterate your qualifications.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.