Data Enablement Manager

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Data Management, SoftwareIndustries

Requirements

Candidates should have 5+ years of experience in data enablement, BI administration, analytics, or data governance. Proven ability to design and deliver training, enablement programs, and/or internal certifications that drive BI adoption at scale is required. Strong track record of partnering with technical and business teams to translate needs, document shared definitions, enforce data standards, and collaborate effectively to achieve goals is necessary. Advanced skills with modern BI tools that have semantic layers (e.g., Omni, Looker) and familiarity with data stacks (e.g., Snowflake, dbt), along with a solid understanding of data warehousing and data modeling concepts, are essential. Excellent communication and organizational skills are needed, along with the capability to lead strategic projects with minimal guidance and balance multiple priorities. A proactive approach with a high degree of ownership, the ability to identify improvement opportunities, drive new processes, and rally teams to solve problems collaboratively, is also required.

Responsibilities

The Data Enablement Manager will own BI enablement, including tool administration, standards, and stewardship for semantic layer BI tools, ensuring users stay up-to-date on evolving features. They will design and deliver data literacy programs, including office hours, trainings, onboarding new hires, and certification pathways that scale across hundreds of users. This role involves serving as the liaison between business stakeholders and technical teams, gathering feedback from BI users, advocating for their needs, and ensuring adoption of standards and alignment on trusted metrics while shaping Analytics and Data Engineering priorities. The manager will partner with Data Analytics and Data Engineering to enforce consistency, data quality, and documentation practices. They will build and lead communities-of-practice for BI users to share best practices and elevate data fluency. Additionally, they will act as the bridge between business stakeholders and technical teams, ensuring adoption of standards and alignment on trusted metrics, and track the adoption and effectiveness of enablement programs, continuously iterating for impact. Occasional duties outside standard working hours may be required due to the remote-first, multi-timezone nature of the company.

Skills

BI enablement

Data literacy

Data stewardship

Looker

Omni

Data Governance

Analytics

Data Engineering

User adoption

Best practices

Cribl

Data observability solutions for tech businesses

About Cribl

Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$576.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees