Senior Director, MTS
- Compensation
- Not disclosed
- Location
- Bengaluru, Karnataka, in
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Not specified
- Posted
Skills
Must have
- Education: Bachelor’s or Master’s degree (or equivalent experience) in Computer Science, Engineering, Information Technology, or a related technical field.
Full description
Gracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. Our advanced entertainment metadata and connected IDs enable seamless content navigation and discovery, helping consumers connect to the content they love and explore new favorites. With a global presence, Gracenote delivers both global and localized video, audio, automotive, and sports content solutions across the Americas, Asia-Pacific, Europe, the Middle East, and Africa. Some of the biggest names who trust Gracenote are Jio, Amazon, NBC, BMW, Mercedes-Benz, Samsung, Sony, and more.
Role Overview
We are seeking a visionary and results-driven Director of Engineering to lead our high-impact engineering organization at Gracenote. In this role, you will be responsible for defining technical strategy, building scalable architectures, driving platform modernization, and leading multi-disciplinary engineering teams (including Engineering Managers and technical leads).
You will lead the evolution of next-generation metadata processing pipelines—integrating modern data platforms, automated web crawling, content curation, real-time metadata serving, and AI/Machine Learning solutions. You will collaborate closely with Product, Data Science, and Global Business leadership to ensure our technology directly powers market-leading media solutions.
ResponsibilitiesStrategic Leadership & Technical Vision
- Define Engineering Strategy: Drive long-term technical vision and architectural direction for Gracenote's core metadata, ingestion, and serving platforms.
- Platform Modernization: Lead initiatives to platformize metadata processing pipelines, transitioning legacy flows into modern, intelligent, high-performance distributed architectures.
- AI & Data Science Integration: Partner with Data Science and AI teams to integrate machine learning, NLP, computer vision, and GenAI capabilities into core operational processes, content ingestion, and data enrichment pipelines.
Team Leadership & Organizational Excellence
- Scale High-Performing Teams: Lead, mentor, and build an engineering organization of Engineering Managers, Architects, and Software Engineers.
- Culture & Retention: Foster an inclusive culture based on Nielsen values—promoting innovation, continuous learning, technical rigor, and high associate retention.
- Talent Management: Oversee succession planning, performance management, career growth frameworks, and talent pipelines (including university relations and new joiner programs).
Business & Stakeholder Alignment
- Product & Strategy Collaboration: Partner directly with Product Management, Data Science, and cross-functional executives to align engineering deliverables with key business metrics and strategic revenue drivers.