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Senior Business Intelligence Manager

Jobgether US


No Relocation

Posted: May 22, 2026

Additional Content

Job Description
  • This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Business Intelligence Manager in the United States. This role is focused on shaping and scaling enterprise-level business intelligence capabilities within a highly data-driven customer operations environment. The position plays a strategic role in building trusted analytics foundations, reusable BI products, and scalable reporting solutions that support operational excellence and executive decision-making. Working cross-functionally with analytics, engineering, finance, and operations teams, the role drives alignment around metrics, data governance, and reporting standards. It goes beyond dashboard development by emphasizing long-term data strategy, semantic layer design, and scalable analytics frameworks that enable automation and AI-driven initiatives. The role offers significant ownership and influence, allowing the successful candidate to guide BI best practices, mentor peers, and shape organizational data maturity. Operating in a collaborative and innovation-focused environment, this opportunity is ideal for a technically strong BI leader who thrives on solving complex business challenges through data. It is especially suited for professionals passionate about scalable analytics, operational intelligence, and impactful business outcomes.
  • Accountabilities: Design, develop, and maintain enterprise-grade BI datasets, semantic layers, dashboards, and reporting solutions that support operational and strategic decision-making. Define, govern, and evolve business-critical metrics, taxonomy, and reporting standards to ensure trusted and consistent analytics across teams. Partner closely with data engineering teams to support scalable data pipelines, ingestion requirements, transformation logic, and long-term analytics architecture. Translate exploratory analytics into reusable and production-ready BI products that support operational execution and executive visibility. Build and optimize advanced SQL transformations and scalable data models for high-performance BI workflows. Drive data quality initiatives by identifying inconsistencies, assessing business impact, and implementing improvements across systems and processes. Develop analytics foundations that support automation, AI-powered reporting, experimentation, and self-service analytics capabilities. Establish documentation standards, metadata frameworks, and governance practices that improve discoverability and trust in BI assets. Collaborate with operational, analytics, finance, and workforce management stakeholders to prioritize impactful initiatives and reduce reliance on ad hoc reporting. Mentor and guide BI practitioners while helping define scalable standards and technical direction across the organization. Requirements: 8+ years of experience in Business Intelligence, Analytics Engineering, or related data-focused roles. Strong expertise in SQL, data modeling, complex data transformations, and performance optimization techniques. Advanced experience designing Tableau dashboards and governed semantic layers for enterprise-scale reporting environments. Proven track record of defining, documenting, and managing business-critical metrics used by senior leadership teams. Strong understanding of scalable BI architecture, reusable analytics products, and enterprise data governance practices. Experience working in dynamic, fast-paced environments with evolving business requirements and priorities. Excellent collaboration and stakeholder management skills across technical and non-technical teams. Strong analytical thinking, problem-solving, and strategic decision-making capabilities. Outcome-oriented mindset with focus on adoption, scalability, trust, and measurable business impact. Experience supporting customer operations, contact centers, workforce management, or operational analytics environments is preferred. Familiarity with platforms such as Salesforce, Genesys, workforce management systems, or billing platforms is considered a plus. Exposure to AI-driven analytics, automation initiatives, experimentation frameworks, or decision-support systems is highly valued. Benefits: Competitive annual base salary ranging from approximately $112,700 to $189,400 USD depending on location and experience. Eligibility for equity awards and long-term incentive opportunities. Fully remote work flexibility across the United States. Inclusive, collaborative, and innovation-driven company culture. Opportunity to work on high-impact analytics and AI-driven transformation initiatives. Career growth and leadership development opportunities within a highly recognized technology organization. Flexible distributed-first work environment built around autonomy and trust. Access to comprehensive employee benefits and wellness programs.
  • 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. #LI-CL1
  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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