Egor Gryaznov
egor-gryaznov
Thought leadership
-
February 22, 2024

Building Strong Relationships with Business Stakeholders | Webinar (Featuring Nik Acheson)

min read

Egor Gryaznov
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Join Egor and Nik in this insightful webinar as they delve into the importance of fostering strong relationships with business stakeholders in the realm of data leadership.

This engaging discussion highlights key strategies for success, including the use of shared language, understanding business needs, and translating technical capabilities into tangible business outcomes.

Strategies Covered:

- Importance of Shared Language
- Understanding Business Needs
- Translating Tech Capabilities into Business Outcomes
- Delivering Quick Value
- Guiding Data Strategy with Business Needs
- Shared OKRs and Time to Value
- Empathy Towards Business Stakeholders
- Role of Metrics in Business Success


Throughout the conversation, Egor and Nik draw from their own experiences and share real-world business scenarios to illustrate these concepts. Whether you're a seasoned data leader or just starting in the field, this webinar offers valuable insights to help you navigate the complex landscape of data leadership and build stronger relationships with your business counterparts.

Watch the Recording On YouTube

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Resource
Monthly cost ($)
Number of resources
Time (months)
Total cost ($)
Software/Data engineer
$15,000
3
12
$540,000
Data analyst
$12,000
2
6
$144,000
Business analyst
$10,000
1
3
$30,000
Data/product manager
$20,000
2
6
$240,000
Total cost
$954,000
Role
Goals
Common needs
Data engineers
Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.
Freshness + volume
Monitoring
Schema change detection
Lineage monitoring
Data scientists
Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.
Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing
Analytics engineers
Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.
Lineage monitoringETL blue/green testing
Business intelligence analysts
The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.
Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing
Other stakeholders
Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.
Integration with analytics toolsReporting and insights
about the author

Egor Gryaznov

Co-founder and Field CTO, Bigeye

Egor Gryaznov is Co-Founder and Field CTO of Bigeye, where he works directly with enterprise leaders to design and implement data and AI governance strategies built on trust and observability.

Egor’s passion for scalable, high-quality data systems took shape at Uber, where he was a Staff Engineer and a key member of the original data warehouse team in 2014. He became known for both his technical depth and his ability to bridge the gap between business and engineering - understanding and getting requirements and making sure that solutions his teams built would meet those . 

Shortly after joining, he launched Uber’s first SQL bootcamp, helping hundreds of employees level up their data skills.One of those early attendees was Kyle Kirwan. What started as friendly skepticism turned into a fast partnership, fueled by increasingly difficult SQL challenges and a shared conviction that data infrastructure needed to evolve.

Together, they worked on the pipelines behind Uber’s in-house experimentation platform, reporting standardized metrics across thousands of experiments. As Uber’s platform expanded to support hundreds of petabytes and thousands of weekly data users, Egor saw firsthand how data quality issues could quietly undermine decision-making at scale.

They learned that monitoring couldn’t rely on manual testing alone. Automation was essential, but so was transparency and control. And analysts and engineers needed shared, scalable systems.

In 2019, Egor and Kyle founded Bigeye to bring modern observability to data. As Field CTO, Egor helps enterprises monitor, control, and govern how data, and now AI agents, access and use information, ensuring that innovation never comes at the expense of trust.

about the author

about the author

Egor Gryaznov is Co-Founder and Field CTO of Bigeye, where he works directly with enterprise leaders to design and implement data and AI governance strategies built on trust and observability.

Egor’s passion for scalable, high-quality data systems took shape at Uber, where he was a Staff Engineer and a key member of the original data warehouse team in 2014. He became known for both his technical depth and his ability to bridge the gap between business and engineering - understanding and getting requirements and making sure that solutions his teams built would meet those . 

Shortly after joining, he launched Uber’s first SQL bootcamp, helping hundreds of employees level up their data skills.One of those early attendees was Kyle Kirwan. What started as friendly skepticism turned into a fast partnership, fueled by increasingly difficult SQL challenges and a shared conviction that data infrastructure needed to evolve.

Together, they worked on the pipelines behind Uber’s in-house experimentation platform, reporting standardized metrics across thousands of experiments. As Uber’s platform expanded to support hundreds of petabytes and thousands of weekly data users, Egor saw firsthand how data quality issues could quietly undermine decision-making at scale.

They learned that monitoring couldn’t rely on manual testing alone. Automation was essential, but so was transparency and control. And analysts and engineers needed shared, scalable systems.

In 2019, Egor and Kyle founded Bigeye to bring modern observability to data. As Field CTO, Egor helps enterprises monitor, control, and govern how data, and now AI agents, access and use information, ensuring that innovation never comes at the expense of trust.

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