Principal business intelligence manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Business Intelligence Manager based in United States.

This is a senior-level opportunity for a business intelligence leader who can define and scale enterprise data foundations that power strategic decision-making.

The role focuses on creating trusted, reusable, and AI-ready data products that improve customer experience insights and operational performance.

You will shape data architecture, semantic models, governance standards, and source-of-truth strategies across complex business environments.

Working closely with engineering, analytics, product, finance, and operations teams, you will drive alignment around data quality and usability.

This position combines strategic vision with hands-on technical expertise, influencing how organizations leverage analytics at scale.

You will play a key role in enabling self-service analytics, AI-powered experiences, and data-driven innovation across the business.

Accountabilities:

The Principal Business Intelligence Manager will own the strategic direction of business intelligence architecture and data-product frameworks, ensuring teams have access to accurate, scalable, and trusted insights. This role requires strong technical leadership, cross-functional influence, and the ability to translate complex business needs into effective data solutions.

• Define the target-state architecture for enterprise data foundations, including data domains, source systems, data models, identity strategies, taxonomy, and semantic structures.
• Design and establish reusable semantic-layer strategies, metrics-as-code approaches, and governed analytics patterns across BI, analytics, and AI use cases.
• Develop standards for metric definitions, data governance, source-of-truth management, and certified data products across multiple business functions.
• Analyze and model complex operational, customer, workforce, financial, and product data to uncover insights and improve decision-making.
• Partner with engineering and analytics teams to guide implementation approaches while maintaining ownership of business architecture and data strategy.
• Lead strategic data initiatives related to AI enablement, customer intelligence, analytics modernization, and long-term roadmap planning.
• Evaluate analytics technologies, platforms, and tooling, providing recommendations on adoption strategies and investment decisions.
• Establish quality, reliability, monitoring, and documentation standards for critical reporting and data products.
• Mentor senior BI professionals, analysts, and analytics engineers by promoting technical excellence, scalable practices, and strong analytical standards.

Requirements:

The ideal candidate is a highly experienced business intelligence and data architecture professional with a strong background in enterprise analytics environments. They should combine deep technical expertise with excellent communication skills and the ability to influence stakeholders across an organization.

• 10+ years of experience in data architecture, enterprise data modeling, analytics engineering, or business intelligence leadership roles.
• Proven experience owning or shaping large-scale, multi-system data environments with complex business domains.
• Expert-level SQL skills and strong experience designing scalable data models and analytics architectures.
• Deep knowledge of semantic-layer design, metrics governance, dimensional modeling, and reusable data-product strategies.
• Experience developing data foundations that support AI systems, machine learning workflows, and natural-language analytics experiences.
• Strong understanding of taxonomy management, identity resolution, governance frameworks, and source-of-truth strategies.
• Experience working with analytics and data platforms such as Databricks, dbt, Snowflake, Tableau, or similar technologies.
• Ability to collaborate effectively with engineering, product, finance, operations, sales, and executive stakeholders.
• Strong leadership presence with the ability to influence decisions through technical expertise, communication, and strategic thinking.
• Experience mentoring senior-level BI, analytics, or data professionals.
• Preferred experience in customer experience, customer operations, marketplace, or large-scale consumer data environments.
• Familiarity with AI-ready data products, conversational analytics, and self-service intelligence platforms.

Benefits:

Competitive annual base salary range: Approximately $143,600 – $229,400 depending on location and experience. Approximately $136,400 – $218,000 in additional eligible locations.

Eligibility for equity awards based on experience, performance, and location.

Fully remote work model with flexibility to work from an approved location within the United States.

Opportunity to influence enterprise-scale data strategy and AI-driven analytics initiatives.

Collaboration with cross-functional teams across technology, analytics, product, finance, and operations.

Inclusive workplace culture focused on innovation, growth, and employee development.

Comprehensive benefits package, including: Medical, dental, and vision coverage. Life insurance and disability benefits. Retirement savings program with company match. Career growth opportunities through mentorship, technical leadership, and strategic ownership.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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