Data Operations Lead at Atlan

United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, DataIndustries

Requirements

7+ years of experience in data analytics, strategy, and/or business operations
Track record of building executive-level dashboards and reporting in a sales-led SaaS environment
Strategic thinker who can map qualitative strategy → quantitative insight → business action
Strong communicator — concise, structured, and confident with executive audiences
AI-native mindset: comfort combining structured (e.g., Salesforce, HubSpot) and unstructured data; bonus for having built or demoed an AI agent or an autonomous workflow
Hands-on expertise in SQL, Snowflake, and modern BI (Sigma or similar)
Experience collaborating with cross-functional leads (GTM, Ops, Finance, CS)
(Bonus) Experience in SaaS, AI, or IoT at Series C+ stage companies
(Bonus) Exposure to AI-based goal tracking or agent-driven analysis platforms

Responsibilities

Build and own the data pipeline behind Atlan’s weekly → monthly → quarterly insight cadence, culminating in company-wide and Board reporting
Translate strategic priorities (Big Rocks) into measurable outcomes and clear operational metrics
Partner cross-functionally (Sales, Marketing, CS, Growth) to unify metrics, definitions, and insights
Design and maintain dashboards and data workflows across pipeline and productivity
Leverage AI and unstructured data (e.g., call intelligence, notes) to surface faster, deeper insights
Drive cross-functional alignment through data storytelling and executive-ready communication

Skills

Data Pipelines

Analytics

SQL

Dashboards

Data Workflows

Unstructured Data

Call Intelligence

Data Storytelling

Business Intelligence

Metrics Definition

Cross-functional Collaboration

Atlan

Unified platform for data management and collaboration

About Atlan

Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.

Singapore, SingaporeHeadquarters

2019Year Founded

$195.5MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Emerging startups with similar capabilities could dilute Atlan's market share.

Rapid AI evolution may require Atlan to invest heavily in R&D.

Over-reliance on key partnerships poses risks if terms change or dissolve.

Differentiation

Atlan offers a unique data catalog that organizes and activates metadata effectively.

The platform integrates seamlessly with tools like Slack, Snowflake, and Tableau.

Atlan provides a personalized, collaboration-first experience for data management.

Upsides

Atlan raised $105M in Series C funding, boosting its valuation to $750 million.

The demand for data democratization tools is increasing, benefiting Atlan's offerings.

Growing interest in AI and machine learning enhances Atlan's data processing capabilities.

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