Product Manager, Skylar Analytics & BI Platform

Sciencelogic; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Flexible PTO

Volunteer Time Off

Sabbatical after 5 years

Paid parental leave

HQ office in Reston

Job summary

ScienceLogic is seeking a product leader to own Skylar Analytics, the data access and reporting layer across Skylar One deployments. You will define data connectors, templates for Power BI and Superset, and collaborate with data engineering to refine the operational model for scalable insights.

You will drive ML-aware anomaly detection, partner with sales/marketing on GTM, and guide multi-tenant SaaS considerations while shaping a strong analytics narrative.

Qualifications

• 5+ years of experience as a Product Manager for a reporting, analytics, or BI product.
• Experience shipping dashboards and templates used by non-technical users.
• Collaborates with data engineers on data modeling concepts.

Responsibilities

• Own the Skylar Analytics product vision and roadmap across data modeling and reporting templates.
• Define and deliver connectors and data structures for Power BI and Superset.
• Refine the operational data model with data engineering and data science teams.
• Define the data pipeline contract and evolve data fidelity with product growth.
• Drive anomaly detection and ML-driven alerting for Analytics users.
• Lead GTM for Skylar Analytics with sales and marketing alignment.
• Oversee multi-tenant SaaS considerations and Jira workflows.

Skills

Product management

SQL

Data modeling

BI tooling

GTM strategy

Tools

Jira

ClickHouse

dbt

Job description

ScienceLogic is seeking a product leader to own Skylar Analytics, the data access and reporting layer across Skylar One deployments. You will define data connectors, templates for Power BI and Superset, and collaborate with data engineering to refine the operational model for scalable insights.

You will drive ML-aware anomaly detection, partner with sales/marketing on GTM, and guide multi-tenant SaaS considerations while shaping a strong analytics narrative.