BI & CRM Director, Sr

Old National Bank•Nashville, TN

4d•$136,000 - $279,100

About The Position

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

Requirements

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or related field
10+ years of progressive experience in business intelligence, CRM, data analytics, or related field
5+ years of leadership experience managing analytics teams
Knowledge of CRM platforms (Salesforce) and sales enablement technologies
Proven track record of implementing Customer 360 or similar enterprise analytics initiatives
Strong experience with business intelligence platforms and data visualization tools
Experience in banking or financial services industry
Deep knowledge of data modeling, householding methodologies, and data governance
Advanced proficiency with business intelligence platforms (Power BI, Tableau, Qlik, or similar)
Strong SQL and database query skills
Experience with data warehousing and ETL processes
Familiarity with statistical analysis and predictive modeling
Knowledge of Python, R, or similar analytics programming languages
Understanding of cloud data platforms (AWS, Azure, or similar)
Proficiency with Excel, PowerPoint, and data analysis tools

Nice To Haves

Master's degree or MBA with analytics focus
Experience in enterprise CRM transformation
Experience in regional or national banking organizations
Experience with AI, machine learning, and advanced analytics applications
Certification in data analytics, business intelligence, or related discipline
Experience with data democratization and self-service analytics initiatives

Responsibilities

Lead enterprise business intelligence and CRM capabilities that transform data and Salesforce into actionable insights and embedded workflows for sales teams
Translate customer, pipeline, and performance data into insights that drive revenue growth, proactive relationship management, and sales execution
Serve as Product Owner for the enterprise Salesforce platform, owning roadmap, backlog prioritization, and requirements definition
Partner with Marketing, business line leaders, and Sales Enablement to translate enterprise priorities into scalable CRM capabilities
Chair the Sales Platform Council, balancing business line needs with enterprise standards and long-term platform integrity
Design and deliver Customer 360 dashboards, segment scorecards, and performance reporting with real-time visibility into pipeline, activities, and leading indicators
Establish consistent metrics, benchmarking, and leading indicator frameworks aligned with financial and sales performance measurement
Establish enterprise data standards, householding methodology, and governance across BI and CRM platforms
Lead efforts to reduce system fragmentation through integrated platforms and unified customer views
Ensure data quality, accuracy, and reliability supporting sales enablement and executive reporting
Embed insights and workflows into daily RM activity through Salesforce, dashboards, and self-service analytics
Leverage AI and advanced analytics to enhance insight generation, predictive capabilities, and decision-making
Drive adoption of data-driven behaviors across sales teams and leadership