Business Intelligence Manager

Position at Resolver The Business Intelligence Manager owns Resolver's internal business data: the data in Snowflake, the pipelines that feed it, and the reporting build on top. Much of the job is working out what's worth measuring. The manager helps work out definitions and sources with teams across Resolver, and finds the data that helps people decide quickly and well. On the infrastructure side, the work is building for scale and security while cutting the effort it takes to get from a question to an answer. Finding ways to put AI to work is part of the job. That starts with the team's own output and extends to spotting where it opens up work we couldn't take on before. The manager will take on a leadership role, including coaching direct reports and fostering a data-centric culture in the company at large.

Description

The Business Intelligence Manager owns Resolver's internal business data: the data in Snowflake, the pipelines that feed it, and the reporting build on top. Much of the job is working out what's worth measuring. The manager helps work out definitions and sources with teams across Resolver, and finds the data that helps people decide quickly and well. On the infrastructure side, the work is building for scale and security while cutting the effort it takes to get from a question to an answer. Finding ways to put AI to work is part of the job. That starts with the team's own output and extends to spotting where it opens up work we couldn't take on before. The manager will take on a leadership role, including coaching direct reports and fostering a data-centric culture in the company at large.

About Resolver

Resolver is a high-growth SaaS company whose intuitive, no-code platform fives our customers a clear picture of their risks so they can make quick and effective decisions. As a part of the Resolver team, your work will help transform risk management to risk intelligence so organizations can protect people and assets and deliver on their purpose. We are ambitious in both our mission and our culture. As a business within Kroll, we offer an innovative, non-hierarchical work environment blended with the stability and financial security of an enterprise. Resolver has also been named one of Canada's Great Places to Work six years in a row.

What you'll be doing

Strategy, Infrastructure & Planning (40%)

Measures of Success: High level of data and report accessibility with minimum time/effort to extract insights from data.

• Project management: own the path from dashboard request to delivery, including intake, scoping, sequencing and follow-through.
• Work with leaders across Resolver to understand department needs and what data best serves their goals.
• Advise on best practices for designing and measuring key metrics, with a strong emphasis on what can delivery actionable insights.
• Design, build and optimize all parts of the data warehouse infrastructure to support analysis of key data (requirements gathering, ETL, data modelling, metric design, etc.)
• Detect data quality issues and their root causes proactively. Implement fixes and design data audits to capture the issues in the future.
• Explore new data sources that can provide useful insights and inform company-wide strategy.
• Evaluate new tools and processes that can advance our data capabilities while maintaining high level of security. Put AI to work where it actually changes what the team can take on.
• Create and maintain documentation that is accurate, organized and understandable to the intended audience (bonus points if someone outside the data team can read it and actually learn something)

Dashboards & Data Analysis (40%)

Measures of Success: High level of stakeholder satisfaction.

• With our team, develop, test and launch high quality dashboards to enable growth across Resolver.
• Administer Tableau Cloud, maintain existing dashboards to ensure a high standard.
• Develop and maintain AI-powered reporting solutions (Snowflake Cortex Analyst)
• Serve as reporting resource for all Resolver divisions, including deep-dive analyses that require wrangling complex data and problems.
• Proactively identify trends and business insights that improve results against core corporate KPIs: APR, win-rate, back-to-back revenue.
• Generate hypotheses on cross-functional data and run experiments to test efficacy.

Leadership & Team Building (20%)

Measures of Success: Best in class team engagement scores. Clear development of career plans for team members. Both senior and junior stakeholders show sophisticated understanding of data.

• Maximize team's impact by providing oversight, support and guidance.
• Coordinate use of resources, resolve bottlenecks, review of projects and potential risks.
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