Manager, Business Intelligence Architecture

Accountabilities • Enterprise data architecture: Design, build, and maintain a scalable enterprise data warehouse and reporting infrastructure that supports current business needs and future growth.

• Technology evaluation and selection: Assess and recommend appropriate data architectures, cloud platforms, databases, and reporting technologies, balancing scalability, performance, cost, and business requirements.

• Data modeling and integration: Establish robust data models, integration frameworks, and data management practices that consolidate information from multiple business systems into a consistent enterprise data environment.

• Business intelligence development: Partner with stakeholders across Finance, Revenue Operations, Customer Success, and People to understand reporting requirements and deliver practical, data-driven solutions.

• Historical reporting and analytics: Enable reliable historical reporting, trend analysis, forecasting support, and performance tracking across key business metrics, including recurring revenue, retention, and operational KPIs.

• Data quality and governance: Establish standards that improve data consistency, reliability, accessibility, and usability across reporting systems and business functions.

• Technical leadership: Serve as a technical center of excellence for enterprise data management, providing architectural direction, technical guidance, and mentorship to business intelligence team members.

• Project ownership and delivery: Lead data architecture and BI initiatives from planning through implementation, proactively resolving technical challenges and ensuring solutions meet business objectives.

• Stakeholder communication: Translate complex technical concepts into clear recommendations for business leaders and executives, communicating project progress, risks, trade-offs, and outcomes.

• Continuous improvement: Identify opportunities to enhance data infrastructure, reporting processes, and analytical capabilities as organizational requirements evolve.

Requirements

• Professional experience: At least 8 years of experience in enterprise data architecture, business intelligence, data engineering, or data management, including building scalable data environments.

• Data warehouse architecture: Demonstrated experience designing and implementing enterprise data warehouses and integrating data across multiple business systems.

• SQL and database expertise: Strong proficiency in SQL, data modeling, database architecture, and data integration techniques.

• Cloud data platforms: Hands-on experience with modern cloud data technologies such as Snowflake, Databricks, Azure-based data solutions, or comparable platforms.

• Architecture and technology strategy: Ability to evaluate data technologies and make sound architectural recommendations based on business requirements, scalability, cost efficiency, and long-term maintainability.

• Business intelligence tools: Familiarity with reporting and visualization platforms such as Power BI, Tableau, or similar tools.

• Business acumen: Ability to understand business objectives and translate reporting and analytical needs into effective technical solutions that support informed decision-making.

• Communication skills: Strong written and verbal communication skills, including the ability to explain technical architecture, complex data challenges, and recommended solutions to non-technical stakeholders and executive leadership.

• Ownership and problem-solving: A proactive, independent working style with demonstrated ability to manage complex initiatives, make technical decisions, resolve challenges, and deliver results with minimal oversight.

• Collaboration and leadership: Ability to work effectively across business functions, build stakeholder relationships, and provide technical direction to colleagues.

• SaaS experience (preferred): Experience supporting enterprise reporting in a software-as-a-service or recurring-revenue business.

• Business systems knowledge (preferred): Familiarity with Salesforce, financial platforms, and operational data sources.

• Team development (preferred): Previous experience mentoring technical professionals or leading business intelligence and data teams.

• Remote work eligibility: Candidates must reside in an eligible U.S. state at the time of hire. Eligible states include Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Benefits

• Annual base salary: $135,000–$170,000, depending on experience and geographic location.

• Retirement savings: 401(k) plan with a 200% employer match on contributions up to the first 5% of salary, offering a potential employer match of up to 10% of salary.

• Medical, dental, and vision insurance: The employer covers 99% of premiums for employees and their dependents.

• Flexible spending and health savings accounts: Access to FSA and HSA options.

• Family support: Fertility benefits and parental leave.

• Paid time off: PTO to support rest, personal needs, and work-life balance.

• Volunteer leave: Dedicated time to participate in community and volunteer activities.

• Charitable donation matching: Employer support for eligible charitable contributions.

• Professional development: Tuition reimbursement to support continued learning and career growth.

• Wellness benefits: Gym membership reimbursement.

• Remote work support: Internet stipend to help cover work-from-home connectivity costs.

• Additional coverage: Pet insurance.

• Remote-friendly environment: Opportunity to contribute to a distributed team while helping shape enterprise data capabilities and business intelligence strategy.

• Inclusive workplace: Commitment to equal employment opportunities and a fair recruitment process. 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