Senior Business Intelligence Architect
About The Position
This role focuses on designing and delivering high-visibility executive dashboards and architecting enterprise-grade Power BI semantic models. The Senior Business Intelligence Architect will translate business questions into clear KPIs and visual narratives, ensure reports are decision-oriented, and proactively surface trends. Responsibilities include architecting Power BI semantic models, defining metric standards, optimizing data models, and integrating data from various sources. The role also involves ensuring the accuracy and trust of executive reporting through governance and collaboration with data engineering teams. Additionally, the architect will act as a thought leader, mentor analysts and BI developers, and influence stakeholders.
Requirements
- 5+ years of experience in business intelligence, analytics, or data architecture roles.
- Deep, hands-on expertise with Power BI (semantic models, DAX, Power Query, service architecture).
- Proven experience delivering executive-level dashboards and reporting.
- Strong data modeling skills (star schema Power BI semantic models).
- Experience working with multiple enterprise data sources.
- Ability to communicate complex data concepts clearly to non-technical audiences.
Nice To Haves
- Experience supporting C-suite, board, or VP-level reporting.
- Background in enterprise analytics environments with shared semantic models.
- Familiarity with Azure data services (e.g., Snowflake, Fabric, Data Factory) or similar cloud platforms.
- Experience defining BI standards, governance models, and reporting frameworks.
Responsibilities
- Design and deliver high-visibility executive dashboards for C-suite and senior leadership audiences.
- Translate ambiguous business questions into clear KPIs, metrics, and visual narratives.
- Ensure reports are concise, intuitive, and decision-oriented.
- Proactively surface trends, risks, and opportunities relevant to leadership priorities.
- Architect enterprise-grade Power BI semantic models that support consistent metrics across reports.
- Define and enforce metric definitions, calculation logic, and dimensional standards.
- Optimize data models for performance, scalability, and reusability.
- Establish best practices for DAX, model relationships, aggregations, and row-level security.
- Integrate data from multiple sources (e.g., ERP, CRM, finance, operations, cloud platforms, flat files, APIs).
- Partner with data engineering teams to improve data quality, reliability, and availability.
- Help define upstream data structures to better support downstream analytics and executive use cases.
- Ensure executive reporting is accurate, auditable, and trusted.
- Implement governance around datasets, workspaces, access, and certification in Power BI.
- Balance agility with control in a fast-moving executive reporting environment.
- Act as a thought leader for analytics best practices across the organization.
- Mentor analysts and BI developers on modeling, visualization, and storytelling.
- Influence stakeholders without formal authority through clarity, credibility, and results.
Benefits
- Medical, dental, vision, and prescription drug coverage
- Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- Access to Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Discretionary annual bonus
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
