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Principle GenAI Lead Marketing Effectiveness

NielsenIQ
Full-time
Remote
Worldwide
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Principle GenAI Lead Marketing Effectiveness

πŸ”Ή Company: NielsenIQ

πŸ”Ή Location: Remote, Pune, Maharashtra, India

πŸ”Ή Job Type: Full-time

πŸ”Ή Category: AI & Machine Learning

πŸ”Ή Date Posted: 2025-04-23

πŸ”Ή Experience Level: 10+ years

πŸ”Ή Remote Status: Remote OK

πŸš€ Job Overview

Key aspects of this role include:

  • Leading the development and implementation of AI-powered solutions for the marketing industry
  • Overseeing the creation of generative AI tools that empower marketers to make data-driven decisions and automate tasks
  • Strategic leadership and product development responsibilities
  • Collaboration with cross-functional teams and industry experts
  • Educating the market on the benefits of generative AI and its applications in marketing

ASSUMPTION: This role requires a high level of expertise in generative AI and a proven track record in leading AI product development. The ideal candidate will have a strong background in machine learning, data science, and natural language processing.

πŸ“‹ Key Responsibilities

βœ… Inform the long-term vision for the generative AI platform, aligning it with the platform’s overall strategy

βœ… Identify opportunities to leverage generative AI to solve complex marketing analytics challenges

βœ… Collaborate with cross-functional teams to ensure alignment and smooth execution

βœ… Lead the development of generative AI models and workflows for tasks such as results summarization, text to video and text to audio content generation, predictive analytics, and personalized content generation

βœ… Oversee the integration of generative AI capabilities into our marketing analytics platform

βœ… Prioritize features and functionalities to deliver maximum value to our clients

βœ… Stay up-to-date with the latest advancements in generative AI, machine learning, and natural language processing

βœ… Collaborate with research institutions and industry experts to explore new frontiers in AI

βœ… Ensure the quality and reliability of our AI models

βœ… Identify potential partnerships and collaborations to accelerate the development and adoption of our generative AI solutions

βœ… Educate the market on the benefits of generative AI and its applications in marketing

ASSUMPTION: The responsibilities listed above are subject to change based on business needs and may evolve over time. The ideal candidate will be adaptable and able to handle shifting priorities.

🎯 Required Qualifications

Education: Advanced degree in computer science, artificial intelligence, or a related field

Experience: 10+ years of experience in machine learning, data science, and natural language processing, with a focus on generative AI

Required Skills:

  • Expertise in generative AI techniques, including large language models, neural networks, and reinforcement learning
  • Proven track record in leading the development and deployment of AI-powered products
  • Excellent leadership and team collaboration skills
  • Strong communication and presentation skills
  • Passion for innovation and a desire to push the boundaries of AI

Preferred Skills:

  • Experience in the marketing industry or a related field
  • Familiarity with marketing analytics platforms
  • Ability to work in a fast-paced, dynamic environment

ASSUMPTION: While not explicitly stated, it is assumed that the ideal candidate will have a strong background in data analysis and a solid understanding of marketing principles to effectively lead the development of AI-powered marketing solutions.

πŸ’° Compensation & Benefits

Salary Range: The salary range for this position is not provided. Based on industry standards for a senior-level AI role in India, the estimated salary range is INR 25,00,000 - 40,00,000 per annum. This estimate is subject to change based on the candidate's experience and qualifications.

Benefits:

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

Working Hours: Full-time position with standard working hours, but may require flexibility based on project demands

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary based on the candidate's experience and qualifications. The benefits listed are subject to change and may be dependent on the candidate's location and employment status.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: NielsenIQ is a global consumer intelligence company that provides insights into consumer behavior and market trends. They operate in the software development industry, focusing on data analytics and consumer measurement.

Company Size: NielsenIQ has 10,001+ employees, making it a large enterprise with a global presence.

Founded: NielsenIQ was founded in 1923 and has since grown to become a leading provider of consumer intelligence solutions.

Company Description:

  • NielsenIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
  • In 2023, NielsenIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach.
  • With a holistic retail read and the most comprehensive consumer insightsβ€”delivered with advanced analytics through state-of-the-art platformsβ€”NielsenIQ delivers the Full Viewβ„’.

Company Specialties:

  • Omnichannel
  • Ecommerce
  • FMCG data
  • CPG data
  • Data analytics
  • SaaS
  • Digital shelf
  • E-commerce
  • Analytics
  • Data
  • CPG
  • CPG data
  • EretailMedia
  • Amazon S&S
  • Location-based analytics
  • And all location data

Company Website: https://nielseniq.com/global/en/industries/digital-commerce/

ASSUMPTION: NielsenIQ is a well-established company with a strong global presence. The company's size and industry experience make it an attractive option for candidates seeking a stable and challenging work environment.

πŸ“Š Role Analysis

Career Level: This role is at the senior management level, requiring a high degree of expertise and leadership skills.

Reporting Structure: The ideal candidate will report directly to the Chief Technology Officer or a similar executive role within the organization.

Work Arrangement: This is a remote-friendly position, allowing for flexible work arrangements based on the candidate's preferences and the organization's needs.

Growth Opportunities:

  • As a senior-level role, this position offers opportunities for career advancement within the organization.
  • The company's global presence and diverse range of products and services provide ample opportunities for professional growth and development.
  • Candidates in this role may have the opportunity to lead teams and mentor junior-level employees.

ASSUMPTION: The growth opportunities listed above are subject to change based on business needs and the candidate's performance. The ideal candidate will be proactive in seeking out growth opportunities and taking on new challenges.

🌍 Location & Work Environment

Office Type: NielsenIQ has multiple office locations worldwide, but this role is remote-friendly, allowing for flexible work arrangements.

Office Location(s): The company has offices in various locations, including Chicago, New York, London, Paris, Algiers, Mexico City, and Kuala Lumpur.

Geographic Context:

  • The role is based in Pune, Maharashtra, India, which is a major tech hub with a thriving startup ecosystem.
  • The city offers a mix of traditional and modern amenities, with a rich cultural heritage and a vibrant nightlife.
  • Pune has a tropical savanna climate, with warm and humid weather throughout the year.

Work Schedule: The work schedule for this role is standard, with core hours between 9:00 AM and 5:00 PM IST. However, the role may require flexibility based on project demands and client needs.

ASSUMPTION: The work environment for this role is dynamic and fast-paced, with a strong focus on innovation and collaboration. The ideal candidate will be comfortable working in a remote-friendly environment and able to manage their time effectively.

πŸ’Ό Interview & Application Insights

Typical Process:

  • The application process typically involves submitting a resume and cover letter through the company's careers portal.
  • Candidates may be required to complete a phone or video screening, followed by multiple rounds of interviews with hiring managers and other stakeholders.
  • The final round of interviews may include a presentation or case study component to assess the candidate's problem-solving skills and strategic thinking.

Key Assessment Areas:

  • Technical expertise in generative AI and related fields
  • Leadership and team collaboration skills
  • Communication and presentation skills
  • Strategic thinking and vision
  • Problem-solving and critical thinking skills
  • Alignment with the company's mission and values

Application Tips:

  • Highlight relevant experience and achievements in generative AI and related fields
  • Tailor your resume and cover letter to emphasize your technical skills and leadership experience
  • Prepare for behavioral and situational interview questions that assess your problem-solving skills and strategic thinking
  • Research the company and the role to demonstrate your understanding of the organization's mission and values

ATS Keywords: Generative AI, Machine Learning, Data Science, Natural Language Processing, Leadership, Collaboration, Communication, Strategic Thinking, Product Development, Marketing Analytics, AI-powered Solutions

ASSUMPTION: The application process for this role is subject to change based on business needs and the candidate's qualifications. The ideal candidate will be proactive in seeking out information about the company and the role, and will tailor their application materials accordingly.

πŸ› οΈ Tools & Technologies

  • Python
  • TensorFlow
  • PyTorch
  • Natural Language Toolkit (NLTK)
  • Transformers
  • Hugging Face
  • Marketing analytics platforms (e.g., NielsenIQ's proprietary platform)

ASSUMPTION: The tools and technologies listed above are subject to change based on business needs and the candidate's qualifications. The ideal candidate will have experience with a wide range of AI and machine learning tools and technologies, and will be able to adapt to new tools as needed.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Integrity
  • Accountability
  • Respect
  • Excellence
  • Innovation
  • Collaboration

Work Style:

  • Dynamic and fast-paced
  • Collaborative and team-oriented
  • Focused on innovation and continuous learning
  • Results-driven and data-informed
  • Adaptable and flexible

Self-Assessment Questions:

  • Do you have a strong background in generative AI and related fields?
  • Are you an effective leader and communicator, able to work collaboratively with internal and external teams?
  • Are you comfortable working in a dynamic and fast-paced environment, with a strong focus on innovation and collaboration?
  • Do you have a passion for driving organizational transformation and delivering client outcomes?
  • Are you able to maintain positive client relationships in complex situations and resolve client issues?

ASSUMPTION: The ideal candidate will be a strong cultural fit for NielsenIQ, with a passion for innovation and a commitment to delivering excellence in all aspects of their work.

⚠️ Potential Challenges

  • The role requires a high degree of expertise in generative AI and related fields, which may be challenging for candidates without extensive experience in the field.
  • The role may require flexibility in working hours to accommodate project demands and client needs.
  • The role is based in Pune, Maharashtra, India, which may present challenges for candidates who are not familiar with the local culture and work environment.
  • The role may require travel to other office locations or client sites, which may present challenges for candidates with family or personal commitments.

ASSUMPTION: The potential challenges listed above are subject to change based on business needs and the candidate's qualifications. The ideal candidate will be proactive in seeking out information about the role and the company, and will be prepared to address any challenges that may arise.

πŸ“ˆ Similar Roles Comparison

  • This role is similar to other senior-level AI and machine learning roles in the industry, but with a specific focus on generative AI and marketing analytics.
  • The role requires a high degree of expertise in generative AI and related fields, which may be more challenging than other AI and machine learning roles in the industry.
  • The role offers opportunities for career advancement within the organization, with a focus on driving organizational transformation and delivering client outcomes.

ASSUMPTION: The ideal candidate will have experience in a similar role or a related field, and will be able to leverage their existing skills and knowledge to succeed in this role.

πŸ“ Sample Projects

  • Developing a generative AI model for summarizing marketing research data
  • Creating a text-to-video content generation tool for marketing agencies
  • Building a predictive analytics model for forecasting consumer behavior in the retail industry

ASSUMPTION: The sample projects listed above are intended to illustrate the types of projects that may be relevant to this role. The ideal candidate will have experience with similar projects or will be able to demonstrate their ability to tackle complex AI and machine learning challenges.

❓ Key Questions to Ask During Interview

  • Can you describe the long-term vision for the generative AI platform and how this role fits into that vision?
  • How does the company support the professional development and growth of its employees?
  • What are the key priorities for this role in the first 90 days?
  • How does the company measure the success of its AI-powered marketing solutions?
  • What are the biggest challenges facing the marketing analytics industry, and how does this role address those challenges?

ASSUMPTION: The key questions listed above are intended to help the candidate better understand the role and the company, and to assess their fit for the position. The ideal candidate will be proactive in seeking out information and asking insightful questions throughout the interview process.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through the NielsenIQ careers portal
  • Tailor your resume and cover letter to highlight your relevant experience and skills in generative AI and related fields
  • Prepare for behavioral and situational interview questions that assess your problem-solving skills and strategic thinking
  • Research the company and the role to demonstrate your understanding of the organization's mission and values
  • Follow up with the hiring manager one week after submitting your application to inquire about the status of your application

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.