Director, Revenue Intelligence

Epicor

Director of Revenue Intelligence at Epicor leading data analytics strategy and execution. Collaborating cross-functionally to drive business performance through actionable insights and AI-powered solutions.

Posted 5/2/2026full-timeAustin • Texas • 🇺🇸 United StatesLead💰 $163,000 - $277,000 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Define and execute the vision and strategy for Data Analytics and Business Intelligence across the organization.
Serve as a key contributor to executive leadership, providing insights, direction, and data-driven recommendations.
Leverage AI to drive quality business outcomes and efficiency.
Establish budgets, goals, and performance metrics aligned with organizational priorities.
Develop and maintain scalable Business Intelligence architecture, ensuring data integrity across systems.
Establish tools, processes, and standards for data acquisition, normalization, and governance to ensure data quality and reliability.
Define requirements and oversee delivery of advanced analytics solutions, dashboards, and reporting capabilities.
Create and manage company-wide reporting frameworks that deliver actionable insights into business performance and key metrics.
Partner with internal business functions (e.g., Finance, Sales, Marketing, Operations, IT) to deeply understand processes and identify opportunities for optimization.
Deliver insights related to strategic transformations, pricing strategies, and customer segmentation.
Lead cross-functional initiatives including data integration, migration, and complex operational projects.
Build strategic partnerships to deliver analytics products and services aligned with business goals and customer needs.
Present insights, analysis, and recommendations to executive leadership and key stakeholders.
Translate complex data findings into clear, actionable business insights.
Influence priorities and enable effective decision-making across the organization.

Requirements

What you’ll need

Strong expertise in data analytics, business intelligence, and data architecture with strong AI lean.
Experience with BI tools, advanced SQL, and scalable data processing systems.
Advanced proficiency in Excel (including Power Pivot) and MS Office tools.
Strong understanding of technical concepts, data modeling, and analytics methodologies.
Proven ability to solve complex, ambiguous problems through cross-functional collaboration and develop innovative solutions.
Experience establishing data governance frameworks and ownership models.
Excellent communication, presentation, and stakeholder management skills.
Ability to balance multiple priorities and work effectively in a fast-paced environment.
Detail-oriented with strong execution focus and continuous improvement mindset.
10+ years of progressive experience in data analytics, business intelligence, or related fields.
5+ years of experience managing and developing multi-disciplinary teams, preferably globally.
6+ years of relevant industry or specialized experience in a SaaS organization.
Bachelor's degree required; Master's degree preferred.

Benefits

Comp & perks

Comprehensive health and wellness benefits designed to support your overall well-being.
Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
Comprehensive support for international relocations and permanent residency processes.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsbusiness intelligencedata architectureAIadvanced SQLdata processing systemsdata modelinganalytics methodologiesdata governance frameworksExcel

Soft Skills

problem solvingcross-functional collaborationcommunicationpresentationstakeholder managementprioritizationexecution focuscontinuous improvementleadershipinfluencing