Data & AI - Branch Strategy and Execution- Vice President

Help transform our branch network through data, analytics, and AI-powered solutions that enhance how our sales teams serve clients. This role is ideal for someone who excels at turning insights into action and thrives in a fast-paced, innovative environment. You’ll need strong data and analytical judgment, clear communication, and the ability to drive alignment across groups with different priorities.

As a Vice President on the Branch Strategy & Execution team, you will drive both the strategy and execution of high-impact Data & AI initiatives that improve sales effectiveness, coaching, client engagement, and operational performance. You’ll sit at the intersection of business strategy, analytics, data, technology, and AI. You will partner closely with Data Owners, Data Scientists, Product, Engineering, and Business Leaders to identify opportunities, define solutions, and lead delivery from concept through adoption. You’ll need to be passionate about turning data into actionable insights, managing data as a product, and accelerating AI capabilities through strong execution, governance, and stakeholder alignment. Success requires the ability to connect strategic objectives with practical implementation while influencing across a complex organization.

Job Responsibilities

• Designstrategy anddeliverdata, analytics, and artificial intelligence solutions that drive measurable business value for sales teams.
• Improvesales outcomes byoptimizingthe sales funnel through analytics, monitoring, and insight generation.
• Builddata- and artificial intelligence-enabled coaching and enablement capabilities that help managers develop teams effectively.
• Deliverpersonalized insights and meeting preparation experiences that help sales teams better understand and serve clients.
• Partnerwith data owners, data scientists, product, engineering, and business leaders from ideation through deployment and adoption.
• Translatebusiness priorities into scalable data, analytics, and artificial intelligence solutions.
• Communicatecomplex technical concepts clearly to executive and non-technical audiences.
• Influencesenior stakeholders to drive alignment, prioritization, and decision-making.
• Acceleratedata strategy, data product management, governance, data quality, and measurement practices that support artificial intelligence at scale.
• Identifyandmanageprogram risks, dependencies, and execution challenges across multiple workstreams.

Required Qualifications, Capabilities and Skills:

• Bachelor's degree and 5+ years of experience in analytics, strategy, product, technology, technical program management, or related disciplines
• Technical program manager experience in leading complex programs, analytic initiatives, data products, or AI/ML solutions across matrixed organizations
• Strong communication and storytelling skills, including the ability to tailor messages for executive and technical audiences.
• Ability to collaborate effectively across functions, and demonstrated success influencing stakeholders and managing initiatives across organizations without direct authority
• Strong understanding of data management, risk, controls, governance, analytics, business intelligence, data warehousing, and AI/ML concepts.
• Experience designing and implementing AI solutionsthat prioritize user experiences, drive measurable business outcomes, and effectively integrate with human-centric workflows and decision-making processes.
• Translate business problems into scalable data, analytics, and technology solutions.
• Proven ability to managemultiple concurrent initiatives, prioritize effectively, and adapt to changing needs.
• Championdata quality, documentation, and analytical rigor across deliverables and decision processes.
• Advanced proficiency with PowerPoint, Excel, and AI-enabled productivity tools

Preferred qualifications, capabilities, and skills

• Experienceworking with sales, product, data and analytic organizations
• Working knowledgeof how Machine Learning and AI techniques can enhance forecasting, optimization, or decisioning workflows.
• Familiaritywith analytic and data architecture concepts to support scalable analytics.
• Understanding and practical experience in big data engineering, analytics, machine learning, or Public Cloud related technologies & their applications.
• Product lifecycle experience/area product management experience.
• Knowledge of ETL principles or data structures.
• Understanddemand forecasting methodologies and labor analytics.