Director, Engineering Execution, Wealth and Investments

BNY•Lake Mary, FL

About The Position

Strategy & Digital Transformation - Define and execute a multi-year data and analytics strategy aligned with enterprise objectives and the engineering operating model. Lead initiatives that modernize data platforms, standardize data pipelines, and enable scalable analytics capabilities across functions. Partner with cross-functional leaders to prioritize transformation roadmaps and deliver measurable outcomes. Business Process Improvement & Operational Efficiency - Identify and re-engineer, in partnership with engineering teams, critical business processes using analytics, automation, and AI to reduce cycle time, improve quality, and increase reliability. AI, Advanced Analytics & Insight Generation Lead the development and deployment of AI/ML solutions (predictive, prescriptive, and generative) to produce actionable insights for engineering technical and strategic delivery. Enable and product-manage analytics and insight tools (e.g., dashboards, self-service analytics, Copilot-style assistants) to improve decision velocity and quality. Executive Reporting & Stakeholder Engagement - Partner with the Senior Director to deliver executive reporting and insights for leadership forums. Translate complex analytical findings into clear narratives and recommendations for senior stakeholders. Serve as the bridge between business leaders, engineering teams, and operations to ensure data and analytics solutions meet strategic needs. Governance, Risk & Compliance - Ensure all data and analytics solutions comply with stringent governance, privacy, and security standards, thereby maintaining operational stability and regulatory compliance.

Requirements

10 plus; years in strategy execution, engineering operations, change management or related roles within technology organizations
Strong knowledge of engineering practices (DevOps, SRE, Architecture) and agile ways of working.
Hands-on experience with analytics and familiarity with AI concepts and practical use cases.
Proven experience leading cross-functional programs and driving delivery.
Excellent communication, stakeholder management, and influencing skills; ability to engage senior leaders and technical teams
Bachelor's degree in Engineering, Computer Science, Business, or related field

Responsibilities

Define and execute a multi-year data and analytics strategy aligned with enterprise objectives and the engineering operating model.
Lead initiatives that modernize data platforms, standardize data pipelines, and enable scalable analytics capabilities across functions.
Partner with cross-functional leaders to prioritize transformation roadmaps and deliver measurable outcomes.
Identify and re-engineer, in partnership with engineering teams, critical business processes using analytics, automation, and AI to reduce cycle time, improve quality, and increase reliability.
Lead the development and deployment of AI/ML solutions (predictive, prescriptive, and generative) to produce actionable insights for engineering technical and strategic delivery.
Enable and product-manage analytics and insight tools (e.g., dashboards, self-service analytics, Copilot-style assistants) to improve decision velocity and quality.
Partner with the Senior Director to deliver executive reporting and insights for leadership forums.
Translate complex analytical findings into clear narratives and recommendations for senior stakeholders.
Serve as the bridge between business leaders, engineering teams, and operations to ensure data and analytics solutions meet strategic needs.
Ensure all data and analytics solutions comply with stringent governance, privacy, and security standards, thereby maintaining operational stability and regulatory compliance.