Bengaluru, India
Actively hiring, first seen by us 10 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
We are looking for a hands-on technical customer success leader to be the go-to expert for Nielsen’s newest data products: Audience Builder, Data Driven Linear (DDL), data clean rooms, API-based offerings such as N1 advanced audiences, and the Media Data Engine (MDE).
Working from Bengaluru with clients and colleagues in the US, you will design how clients connect to our data, build the APIs, clean rooms and scripts that make it work, and help them get measurable value from it.
Design client integrations and set up REST and GraphQL API connections
Configure and query data clean rooms and support audience matching
Write SQL and Python scripts that speed up client onboarding
Build and maintain a quality scorecard combining delivery, impact and feedback
Lead onboarding, training and adoption for new clients and API products
We are looking for a hands-on technical customer success leader to be the go-to expert for Nielsen’s newest data products: Audience Builder, Data Driven Linear (DDL), data clean rooms, API-based offerings such as N1 advanced audiences, and the Media Data Engine (MDE).
Working from Bengaluru with clients and colleagues in the US, you will design how clients connect to our data, build the APIs, clean rooms and scripts that make it work, and help them get measurable value from it. You will also co-lead Quality 2.0, a program with Engineering that tracks data quality by its impact on customers, not just delivery metrics.
Set up and troubleshoot REST and GraphQL API integrations
Configure and query data clean rooms (for example Snowflake, Databricks)
Write production-quality SQL and Python scripts and reusable code samples that speed up client onboarding
Build and maintain a quality scorecard that combines delivery metrics, customer impact and customer feedback
Lead onboarding and adoption for new API-based data products
5+ years of experience, including at least 4 years in a client-facing technical role such as Technical Account Manager, Solutions Architect, Implementation or Data Consultant, or Technical Customer Success.
Hands-on experience integrating REST APIs (Postman, OAuth/API keys, JSON, troubleshooting) and GraphQL APIs.
Experience working directly with US or other global clients, including presenting to senior stakeholders.
Knowledge of CI/CD pipelines.
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
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- Configure and query data clean rooms (for example Snowflake, Databricks), and support audience matching and overlap analysis. - Write production-quality SQL and Python scripts and reusable code samples that speed up client onboarding. - Run in-depth technical training for internal teams and client technical staff.
- Advanced SQL (CTEs, window functions, performance tuning) on a cloud data warehouse such as Snowflake, BigQuery, Redshift or Databricks. - At least 2 years of hands-on Python for data work and automation (pandas, requests, scripting). - Hands-on experience integrating REST APIs (Postman, OAuth/API keys, JSON, troubleshooting) and GraphQL APIs.
- 5+ years of experience, including at least 4 years in a client-facing technical role such as Technical Account Manager, Solutions Architect, Implementation or Data Consultant, or Technical Customer Success. - Advanced SQL (CTEs, window functions, performance tuning) on a cloud data warehouse such as Snowflake, BigQuery, Redshift or Databricks. - At least 2 years of hands-on Python for data work and automation (pandas, requests, scripting).
- Excellent written and spoken English, and the ability to explain technical concepts clearly to non-technical audiences. - Data clean rooms: Snowflake Data Clean Rooms, LiveRamp Habu, AWS Clean Rooms or Google Ads Data Hub. - Knowledge of CI/CD pipelines.
- Knowledge of CI/CD pipelines. - AWS & Data pipelines and quality tools: Airflow, dbt, redshift, monitoring and alerting. Good to have
- Set up and troubleshoot REST and GraphQL API integrations, including authentication, paging, rate limits and error handling. - Configure and query data clean rooms (for example Snowflake, Databricks), and support audience matching and overlap analysis. - Write production-quality SQL and Python scripts and reusable code samples that speed up client onboarding.
· AI and agent tools: LLM APIs, MCP or similar agent integrations. · BI tools (Tableau,powerbi) and work-tracking tools (Jira, ServiceNow, Salesforce). Additional Information
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
About the role
We are looking for a hands-on technical customer success leader to be the go-to expert for Nielsen’s newest data products: Audience Builder, Data Driven Linear (DDL), data clean rooms, API-based offerings such as N1 advanced audiences, and the Media Data Engine (MDE).
Working from Bengaluru with clients and colleagues in the US, you will design how clients connect to our data, build the APIs, clean rooms and scripts that make it work, and help them get measurable value from it. You will also co-lead Quality 2.0, a program with Engineering that tracks data quality by its impact on customers, not just delivery metrics.
Responsibilities
Technical solutions and client integrations
Lead technical discussions with client data, engineering and analytics teams, and design integrations that fit each client's systems.
Set up and troubleshoot REST and GraphQL API integrations, including authentication, paging, rate limits and error handling.
Configure and query data clean rooms (for example Snowflake, Databricks), and support audience matching and overlap analysis.
Write production-quality SQL and Python scripts and reusable code samples that speed up client onboarding.
Run in-depth technical training for internal teams and client technical staff.
Product expertise and adoption
Become the expert on a portfolio of audience and measurement data products, including their data models, APIs and main client use cases.
Support audience workflows that combine first-party, third-party and Nielsen data, and help clients activate audiences in downstream platforms through the UI, APIs and AI-agent connections.
Help media sellers, agencies and ad tech platforms use measurement data through APIs for planning, pacing, forecasting and deal reconciliation.
Lead onboarding and adoption for new API-based data products. Deliver tailored training, define best practices, track usage, and turn client feedback into product improvements.
Data quality and customer impact (co-lead with Engineering)
Build and maintain a quality scorecard that combines delivery metrics, customer impact and customer feedback.
Analyse escalation trends and customer feedback to find recurring issues and their root causes.
Push for preventive controls, such as automated data-freshness monitoring, more reliable reprocessing, and contract tests before each release, to reduce quality issues reported by customers.
Customer success and advocacy
Lead onboarding for new clients, with demos, training and learning materials tailored to their needs.
Track customer health and adoption metrics, and run plans to grow usage and retention.
Represent the client inside Nielsen, sharing their needs and market trends with Product, Engineering, Marketing and Sales.
Resolve complex client issues quickly by working with internal teams across time zones.
What you will bring
Must have
5+ years of experience, including at least 4 years in a client-facing technical role such as Technical Account Manager, Solutions Architect, Implementation or Data Consultant, or Technical Customer Success.
Advanced SQL (CTEs, window functions, performance tuning) on a cloud data warehouse such as Snowflake, BigQuery, Redshift or Databricks.
At least 2 years of hands-on Python for data work and automation (pandas, requests, scripting).
Hands-on experience integrating REST APIs (Postman, OAuth/API keys, JSON, troubleshooting) and GraphQL APIs.
Experience working directly with US or other global clients, including presenting to senior stakeholders.
Excellent written and spoken English, and the ability to explain technical concepts clearly to non-technical audiences.
Data clean rooms: Snowflake Data Clean Rooms, LiveRamp Habu, AWS Clean Rooms or Google Ads Data Hub.
Knowledge of CI/CD pipelines.
AWS & Data pipelines and quality tools: Airflow, dbt, redshift, monitoring and alerting.
Good to have
· Media, ad tech or measurement: TV/CTV, GRPs/impressions, audience-based buying, programmatic (DSP/SSP), post-buy reconciliation.
· AI and agent tools: LLM APIs, MCP or similar agent integrations.
· BI tools (Tableau,powerbi) and work-tracking tools (Jira, ServiceNow, Salesforce).
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
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Bengaluru, India
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