📋 Job Details at a Glance 📍 Location Bangalore, India 🏢 Company Nielsen 👥 Experience 12+ years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Non-Tech 🛠 Key Skills Leadership Stakeholder Management Head of Corporate AI & Data Engineering at Nielsen — Full Details & How to Apply Nielsen is seeking a Head of Corporate AI & Data Engineering to lead innovative data-driven strategies in Bangalore, India . This pivotal role offers a unique opportunity to shape the future of data engineering in a renowned global company. As the landscape of data analytics and AI evolves, this position is crucial for ensuring that Nielsen remains at the forefront of industry innovation. In today's fast-paced market, the role of a Head of Corporate AI & Data Engineering is more relevant than ever. With businesses increasingly relying on data analytics to drive decision-making, professionals in this field are tasked with navigating complex datasets and implementing AI solutions that enhance operational efficiency. The demand for skilled leaders who can manage stakeholder expectations while driving transformative projects is skyrocketing, making this an opportune moment for experienced candidates to step into this vital role within the non-tech sector. Nielsen stands out as an employer due to its unwavering commitment to data integrity and consumer insights. With a rich history of over 40 years in the industry, Nielsen has cultivated a culture that values innovation and collaboration. The company provides a platform for professionals to influence major corporate strategies through AI and data engineering, making it an appealing workplace for those eager to make a significant impact. The opportunity to work with cutting-edge technologies and a diverse team of experts further enhances the appeal of this role. This position is ideal for both freshers and candidates with up to 12 years of experience , particularly those holding a B.Tech, MCA, or any graduate degree . Eligible candidates include 2023, 2024, 2025, and 2026 graduates who are ready to take on the challenges of leading data engineering initiatives. If you possess strong leadership and stakeholder management skills, this is your chance to contribute to a globally recognized brand. In this role, you will gain invaluable experience in process coordination , client relationship management , and reporting and communication workflows . These skills will not only enhance your professional portfolio but also position you as a leader in the rapidly evolving field of AI and data engineering. The chance to drive transformative projects that significantly impact Nielsen's bottom line adds another layer of fulfillment to this already rewarding career path. NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and up-to-date information to apply online for the Head of Corporate AI & Data Engineering position at Nielsen . Job Role & Responsibilities The role of Head of Corporate AI & Data Engineering at Nielsen is pivotal in driving the company's strategic initiatives through advanced AI solutions. This position not only influences the integration of AI technologies across various departments but also ensures that data-driven decision-making becomes a core aspect of Nielsen's operations. Lead the development and implementation of AI strategies that align with Nielsen's corporate goals, ensuring a cohesive approach to data utilization. Utilize advanced data engineering tools and frameworks, such as Apache Spark and TensorFlow , to optimize data processing and enhance analytics capabilities. Collaborate with cross-functional teams , including IT, marketing, and operations, to ensure seamless integration of AI solutions into existing workflows. Monitor and analyze key performance metrics to evaluate the effectiveness of AI initiatives , providing actionable insights to stakeholders. Foster a culture of innovation by mentoring team members and encouraging continuous learning in AI and data engineering practices . Prepare comprehensive reports and presentations for senior management, articulating the impact of AI initiatives on business performance. Identify and resolve complex data challenges, employing innovative problem-solving techniques to enhance data quality and accessibility. Drive strategic discussions with stakeholders to align AI projects with broader business objectives and ensure stakeholder buy-in. This role embodies an ownership culture, empowering leaders to take initiative and make impactful decisions that drive Nielsen's innovation and growth in the AI landscape. Required Skills & Technical Competencies The ideal candidate for the Head of Corporate AI & Data Engineering role at Nielsen must possess a robust skill profile that combines technical expertise with strong leadership capabilities. This blend is essential for effectively guiding teams and driving strategic initiatives in AI and data engineering. Technical Skills Data Engineering (Advanced) — expertise in designing and implementing scalable data pipelines to support AI applications. Machine Learning Frameworks — proficiency in tools like TensorFlow and PyTorch for developing predictive models. Data Visualization Tools — experience with Tableau or Power BI to present data insights effectively to stakeholders. Apache Spark (Advanced) — utilized for processing large datasets and improving data analytics performance. SQL (Advanced) — strong skills in querying databases to extract and manipulate data for analysis. Cloud Platforms — familiarity with AWS or Azure for deploying AI solutions in a cloud environment. Soft Skills & Professional Competencies Leadership — essential for guiding diverse teams and driving strategic initiatives in AI and data engineering. Stakeholder Management — critical for effectively communicating with various departments and aligning AI strategies with business objectives. Effective Communication — ability to articulate complex AI concepts to non-technical stakeholders. Collaboration — fostering teamwork across departments to ensure successful AI project implementation. Good to Have (Bonus) Project Management Certifications — such as PMP or Agile certifications to enhance project execution capabilities. Data Governance Knowledge — understanding of data privacy regulations and compliance standards. Experience with Big Data Technologies — familiarity with tools like Hadoop or Kafka . To effectively showcase these skills in a resume or interview for the Head of Corporate AI & Data Engineering role, candidates should provide specific examples of past projects, highlight relevant achievements, and demonstrate their impact on business outcomes. Eligibility Criteria This role is designed for experienced professionals who are ready to take on leadership responsibilities in AI and data engineering. Candidates should possess a strong background in relevant fields to thrive in this dynamic environment. Candidates must hold a graduate degree in any field, with a preference for backgrounds in data science, engineering, or related disciplines. Eligible batches: 2023, 2024, 2025, and 2026 passouts are encouraged to apply. A minimum of 12 years of relevant experience is required, focusing on leadership roles in AI or data engineering. While there is no specific CGPA requirement, a strong academic background in relevant fields will be advantageous. Certifications in AI , data engineering , or project management will enhance the application. Prior experience in mentoring or leading teams is highly desirable. Documentation & Portfolio Requirements Candidates should prepare a well-structured resume highlighting relevant experience and skills. Including a portfolio showcasing past projects, particularly those related to AI and data engineering, will strengthen the application. Relevant certifications should also be included to demonstrate commitment to professional development. Pro Tip: Tailor your resume to emphasize leadership experiences and successful AI projects, showcasing measurable impacts to improve your application success rate for the Head of Corporate AI & Data Engineering role at Nielsen . Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Nielsen emphasizes providing a competitive salary that aligns with industry standards for the role of Head of Corporate AI & Data Engineering . While specific salary details are not disclosed, the company is committed to offering a comprehensive benefits package that supports employee well-being and career growth. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Wellness Programs — initiatives designed to promote physical and mental well-being Learning & Development Opportunities — access to training programs and certifications to enhance your skills Flexible Working Hours — options for hybrid or remote work to support work-life balance Performance-Based Bonuses — additional compensation based on individual and company performance Additional Perks & Benefits Meal Allowances — financial support for daily meals Transportation Support — assistance with commuting costs Stock Options — potential equity in the company as part of your compensation package Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Career Development Programs — mentorship from industry leaders to guide your professional journey Career Progression & Salary Growth Nielsen supports rapid career advancement through clear promotion timelines and annual performance appraisals. Employees can expect regular salary reviews, with typical raise percentages in line with industry standards, ensuring that your compensation reflects your contributions and growth within the company. NexisGrow.com tip: When negotiating your salary, emphasize your unique skills and experiences that align with the role of Head of Corporate AI & Data Engineering to strengthen your position. Selection Process The hiring philosophy at Nielsen focuses on identifying candidates who not only possess the necessary technical skills for the Head of Corporate AI & Data Engineering role but also align with the company’s values and culture. The selection process is designed to ensure a thorough evaluation of both technical and interpersonal competencies. 1 Round 1: Initial Screening Interview — a discussion focusing on your resume details and basic qualifications. 2 Round 2: Technical Interview — an assessment of your knowledge in AI and data engineering concepts, along with problem-solving skills. 3 Round 3: Behavioral Interview — an evaluation of your leadership capabilities and cultural fit within the Nielsen team. 4 Final Stage: Offer Presentation — a presentation of the job offer followed by a background check process to confirm candidate suitability. What Each Round Tests Round 1 focuses on your basic qualifications and experience relevant to the Head of Corporate AI & Data Engineering role. Round 2 dives deeper into your technical expertise, assessing your understanding of AI and data engineering principles. Round 3 evaluates your leadership skills and how well you would integrate into the Nielsen culture. Timeline & Expectations The entire selection process typically takes 4-6 weeks from application submission to final offer. Candidates can expect timely communication from Nielsen regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with Nielsen 's core values and recent projects to demonstrate your alignment with the company during interviews. How to Apply for Head of Corporate AI & Data Engineering at Nielsen Apply Now — Nielsen Step 1: Click the Apply button or visit the official career link to access the application portal. Step 2: Fill in your profile and upload your resume, highlighting relevant experience and skills that align with the role of Head of Corporate AI & Data Engineering . Step 3: Expect a confirmation email detailing the next steps in the application screening process, including potential timelines. Step 4: Prepare for interviews by reviewing your technical knowledge and leadership experiences. Step 5: Track your application status through the portal for updates. Resume & Profile Tips for This Role Highlight Leadership Experiences — showcase your ability to lead teams and projects effectively. Showcase Relevant Projects — detail specific projects that demonstrate your expertise in AI and data engineering. Emphasize Technical Skills — include proficiency in Python , SQL , and other relevant technologies. Demonstrate Problem-Solving Skills — provide examples of how you've tackled complex challenges in previous roles. Note: Applications are reviewed on a rolling basis, so early submission is encouraged to increase your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the specific eligibility requirements for the Head of Corporate AI & Data Engineering role at Nielsen? Eligibility Tap to expand + Answer Candidates must hold any graduate degree, with a preference for those in data science or engineering. The role is open to batches from 2023 to 2026, targeting individuals with a minimum of 12 years of relevant experience. ? What is the interview process for the Head of Corporate AI & Data Engineering at Nielsen? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focused on AI and data engineering, and a behavioral interview to assess leadership and cultural fit. ? What skills and tools will I need for this role? Skills Tap to expand + Answer Candidates should possess advanced leadership skills, proficiency in data engineering tools like Apache Spark, and strong stakeholder management abilities. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While salary details are not disclosed, Nielsen offers competitive packages aligned with industry standards, including performance bonuses. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Bangalore, but flexible working arrangements may be available depending on project needs. ? What is the career growth path after joining Nielsen as Head of Corporate AI & Data Engineering? Growth Tap to expand + Answer Career growth includes opportunities for promotions within 6-12 months based on performance, with a clear pathway for advancement over 2-3 years. ? How should I prepare for the Head of Corporate AI & Data Engineering interview at Nielsen? Preparation Tap to expand + Answer Focus on understanding AI and data engineering concepts, prepare to discuss leadership experiences, and be ready to solve case studies relevant to data challenges. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, visit the official career link and submit your resume and cover letter, emphasizing relevant experience and skills. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is typically a probation period of 3-6 months, during which performance will be evaluated to ensure fit within the company. ? What is the work culture like at Nielsen? Culture Tap to expand + Answer Nielsen promotes a collaborative and inclusive work culture, emphasizing continuous learning, team collaboration, and respect for diverse perspectives. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com