Senior Vice President, Engineering Data Transformation & Analytics at BNY

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

102000.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Product Ownership, AI Solution Delivery, Digital Transformation, Business Process Improvement, Data Governance, Privacy Practices, Security Practices, SQL, Python, ETL, Cloud Data Platforms, Power BI, Tableau, AI/ML Models, Stakeholder Management, Communication Skills

Industry

Financial Services

Description

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. The SVP, Engineering Data Transformation & Analytics will drive digital transformation, business process improvement, and data-driven decision-making across the organization. Reporting to the Senior Director, Engineering Strategy & Analytics, this role leads the strategy and design of enterprise technology analytics and AI-enabled automation that improves operational efficiency, enhances client and stakeholder outcomes, and supports executive decision-making. This role is located in Pittsburgh, PA. In this role, you'll make an impact in the following ways: 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. To be successful in this role, we're seeking the following: 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 At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom BNY LinkedIn Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $170,000 and $102,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance and market factors.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The SVP will drive digital transformation and data-driven decision-making across the organization. This includes leading the strategy for enterprise technology analytics and AI-enabled automation to improve operational efficiency and support executive decision-making.