Manager, Business Intelligence Architecture

Jobgether; United States; Remote; USD 135,000 - 170,000; Full time

Benefits offered by this job

Annual base salary range

401(k) match

Medical, dental, vision insurance

FSA/HSA options

Fertility benefits and parental leave

PTO

Volunteer leave

Charitable donation matching

Tuition reimbursement

Gym membership reimbursement

Remote work stipend

Pet insurance

Distributed team experience

Inclusive workplace

Job summary

Jobgether is seeking an experienced Enterprise Data Architect and BI leader to design, build, and govern a scalable data warehouse and reporting platform across the organization.

You will evaluate cloud data platforms, model data, and guide analytics tooling (Power BI, Tableau) while partnering with Finance, Revenue Ops, and Operations to deliver actionable insights and drive data-driven decisions.

Qualifications

• 8+ years in enterprise data architecture, BI, or data management.
• Experience designing enterprise data warehouses and integrating data from multiple systems.
• Strong SQL, data modeling, and data integration skills.

Responsibilities

• Design, build, and maintain scalable data warehouse and reporting infrastructure.
• Evaluate data architectures and cloud platforms balancing performance, cost, and needs.
• Model data and establish integration frameworks across business systems.
• Lead BI initiatives and deliver data-driven solutions with stakeholders.
• Ensure data quality, governance, and reliable historical reporting.
• Provide architectural direction and mentorship to BI team members.
• Translate technical concepts to executives and manage project delivery.

Skills

SQL

Data modeling

Cloud platforms

Architecture strategy

BI tools

Communication

Ownership & problem solving

Leadership & collaboration

SaaS experience

Tools

Snowflake

Databricks

Azure data solutions

Power BI

Tableau

Salesforce

Job description

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.