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BNY · 7 hours ago

Senior Vice President, Engineering Data Transformation & Analytics

Pittsburgh, PA

Full-time

Onsite

Senior Level, Lead/Staff

$102K/yr - $170K/yr

10+ years exp

BNY is a leading global financial services company influencing nearly 20% of the world’s investible assets. The SVP, Engineering Data Transformation & Analytics will drive digital transformation and data-driven decision-making, leading the strategy and design of enterprise technology analytics and AI-enabled automation to improve operational efficiency and support executive decision-making.

Financial Services

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

Qualification

Data engineeringAI solution deliveryAnalytics product ownershipSQLPython/RETL/ELT frameworksCloud data platformsData governanceStakeholder managementCommunication

Required

Bachelor's degree in engineering, Computer Science, Data Science, or related field

10 plus years of progressive experience in data engineering, analytics product ownership, or AI solution delivery, ideally within regulated industries (e.g., financial services)

Demonstrated impact leading digital transformation and business process improvement using analytics, AI, and automation

Hands-on expertise with modern data stacks and analytics tooling: SQL, Python/R, ETL/ELT frameworks, cloud data platforms, and visualization (Power BI, Tableau)

Experience building and operationalizing AI/ML models (including generative AI)

Strong understanding of data governance, privacy, and security practices; ability to design compliant solutions

Excellent communication and stakeholder management skills; proven ability to influence senior leaders and translate complex topics into actionable insights