AVP, Business Intelligence Manager

SiriusPoint • New York, NY

1d • $150,000 - $170,000 • Hybrid

About The Position

SiriusPoint is seeking an AVP, Business Intelligence Manager to lead the strategy, delivery, adoption, and governance of enterprise reporting, dashboards, and analytics. This role involves leading and developing the BI team, collaborating with business and technology leaders, and transforming trusted data into actionable insights. The manager will guide the evolution of the BI practice towards AI-driven decision intelligence, enabling scalable self-service analytics through enterprise analytical datasets, semantic models, and business ontologies. The position will leverage Microsoft Fabric, Power BI, and emerging AI technologies, maturing cloud-based reporting capabilities across AWS Redshift, Microsoft Fabric, and Power BI.

Requirements

• Progressive experience in business intelligence, reporting, analytics, or data engineering, including leadership of teams and complex delivery portfolios.
• Demonstrated ability to lead managers, engineers, or analysts and to build a high-performing, service-oriented team.
• Strong hands-on knowledge of Power BI, SQL, and modern data platforms; experience with AWS Redshift and cloud-based data ecosystems is strongly preferred.
• Experience defining BI standards, governance, operating practices, and scalable reporting architectures.
• Strong understanding of data modeling, semantic layers, ETL or ELT, data quality, security, and performance optimization.
• Understanding of semantic layers and knowledge graphs/ontologies as the foundation for AI.
• Experience applying AI to modernize how BI is designed, delivered, and consumed, with sound judgment on quality, risk, and governance.
• Excellent executive communication, stakeholder management, facilitation, and presentation skills.
• Demonstrated ability to influence across a global organization, manage competing priorities, and make pragmatic, risk-informed decisions.
• Bachelor’s degree in computer science, information systems, data analytics, engineering, or a related field, or equivalent professional experience.

Nice To Haves

• Insurance or reinsurance experience is preferred, including familiarity with policy, claims, underwriting, finance, or actuarial data.

Responsibilities

• Define and maintain the BI roadmap, priorities, standards, and delivery approach in alignment with enterprise data and technology strategy.
• Establish consistent practices for dashboard design, KPI definitions, data lineage, documentation, testing, release management, and ongoing support.
• Embed AI across the BI delivery lifecycle, from requirements and data modeling through development, testing, documentation, and support, to increase speed, quality, and consistency.
• Partner with data governance, architecture, security, and business teams to improve the trust, accessibility, and appropriate use of information.
• Drive adoption, data literacy, and a self-service analytics culture while maintaining appropriate controls and stewardship.
• Lead, coach, and develop BI engineers and analysts, setting clear objectives, accountabilities, and development plans.
• Build AI fluency across the team and embed AI-driven ways of working into everyday BI delivery.
• Own demand intake, prioritization, capacity planning, and delivery commitments for the BI portfolio.
• Create a transparent delivery cadence with clear plans, risks, dependencies, decisions, and stakeholder communications.
• Balance strategic platform improvements with business reporting needs, production support, and technical debt reduction.
• Build trusted relationships with senior stakeholders to understand business outcomes, define meaningful measures, and translate needs into scalable BI solutions.
• Oversee the development and maintenance of executive dashboards, operational reporting, and analytical products across insurance and corporate functions.
• Ensure insights are communicated clearly, with appropriate context, to support decisions, identify trends, and highlight opportunities and risks.
• Evolve the practice from static report production toward AI-augmented insight, such as automated anomaly detection, forecasting, and plain-language explanation of results.
• Partner with business teams to rationalize reports, strengthen KPI ownership, and reduce duplicative or inconsistent reporting.
• Lead a community of practice to strengthen collaboration, standards, and adoption.
• Provide technical leadership across Power BI, SQL, AWS Redshift, semantic models, ETL processes, and related cloud technologies.
• Ensure solutions meet expectations for performance, scalability, usability, resilience, security, and maintainability.
• Implement quality controls for data validation, reconciliation, access, change management, and production monitoring.
• Set review and validation standards for AI-assisted development and AI-generated insights so that outputs remain accurate, explainable, and auditable.
• Partner with data engineering and architecture teams on source integration, platform enhancements, and reusable data products.

Benefits

• Medical
• Dental
• Vision
• FSA Medical and Dependent care
• Health Savings Account (HSA)
• EAP
• Basic Life and AD&D (company paid)
• Basic Long-Term Disability (employer) paid-Taxable income
• Employee paid Long Term Disability(voluntary)
• Company Medical Leave, Parental leave- 8 weeks full pay after 6 months of service
• Voluntary benefits: short term disability, Critical illness, Hospital Indemnity, Accident
• Travel assistance programs Company paid
• 401(k) 6 % safe harbor match, fully vested after two years, pre- and post-tax contributions allowed
• Gym reimbursement
• Legal plan
• Pet Insurance
• Tuition reimbursement
• Generous PTO
• Flexible work arrangement
• Fully stacked pantry on-site
• Team outings
• ERG Groups

What This Job Offers

• Job Type: Full-time
• Career Level: Manager