Director, Business Data Products & Enablement (BDPE) - Deposits & Lending

Truist; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical and dental insurance

401k plan

Paid vacation and holidays

Job summary

Truist is seeking a Director of Business Data Products & Enablement in Charlotte, NC to oversee the development of data solutions in Consumer Banking. This leadership position demands a minimum of 15 years in relevant fields, exceptional team management, and a data-driven approach.

The role involves collaborating with Senior Leadership and stakeholders to enhance analytical insights and optimize business outcomes while ensuring quality and governance of data products. Candidates should possess strong expertise in data visualization tools and advanced analytics.

Qualifications

• Over 15 years in Banking, Finance, Decision/Data Science, or related.
• Minimum 10 years in data science or analytics management.
• Proven experience engaging diverse internal business partners.

Responsibilities

• Manage advanced analytics projects with significant scope and execution.
• Lead a team of Data and Analytics professionals.
• Drive strategies for data mining, AI, and machine learning.

Skills

Data analysis

Team leadership

Project management

Data visualization

Education

Bachelor’s degree in related fields

Tools

SAS

SQL

Tableau

Job description

We are seeking a Director of Business Data Products & Enablement (BDPE) to lead the development and delivery of scalable, product-based data solutions across Deposits and Lending within Consumer & Small Business Banking (CSBB).

This role is accountable for defining and executing a product-driven data strategy, transforming fragmented reporting and analytics into standardized, governed, and reusable data products that drive measurable business value.

The Director will act as a bridge between business and technology, ensuring that data products are aligned to business priorities, built with high quality and governance, and adopted effectively to enable faster, more consistent decision-making.

Essential Duties and Responsibilities

• Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables.
• Lead a team of Data and Analytics professionals. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team.
• Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact.
• Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C‑Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals.
• Pursue business outcomes valued through increased revenue and/or efficiency leveraging data‑driven insights powered by advanced analytics in support of enhanced decision‑making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization.
• Provide strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI & machine learning, self‑service enablement and data visualization for the line of business partners.
• Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.
• Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science & predictive analytics delivery against shared objectives.
• Exercise sound judgment, risk management, and foster a client‑centric culture throughout design, development, and deployment practices.

Qualifications

Required Qualifications:

• Bachelor’s degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
• 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results.
• Must be a people leader, able to manage in a cross‑functional and collaborative team environment focused on supporting business partners with enhanced insights.
• Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact.
• Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact.
• Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact.
• Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness.
• Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E‑Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Preferred Qualifications:

• Experience with modern data platforms (e.g., cloud, Snowflake, BI tools)
• Prior working experience with data governance frameworks, and risk controls
• Experience in AI/advanced analytics enablement for Agentic and traditional applications
• Experience in data, analytics, product management, or BI delivery in Consumer Banking
• Demonstrated ability to translate business strategy into executable data solutions
• Lead cross‑functional teams and influence senior stakeholders
• Deliver measurable business outcomes through data and analytics

Benefits

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax‑preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full‑time or part‑time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non‑temporary position for which you apply, based on full‑time or part‑time status, position, and division of work.

Equal Opportunity and EEO Statement

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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