Senior Vice President, Data Analyst & BI

Bny Mellon

Pittsburgh, PA, United States Full time Data Management Engineering
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At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere.

We continue to be a leader in the industry, recognized as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about.

We’re seeking a future team member for the role of Senior Vice President – Client Activation to join our Fund Services team in Pittsburgh, PA.

Overview

The successful candidate will combine deep technical knowledge of data systems with hands-on experience designing data workflows and onboarding solutions. This role bridges business requirements and technical implementation, enabling automation, improving client onboarding, and supporting complex data transformation needs across platforms, with a primary focus on scaling client onboarding and activation through standardized data and workflow frameworks.

Key Responsibilities

Data Delivery Strategy & Product Ownership

• Lead product management of complex data delivery, reporting, and workflow enablement initiatives supporting both new and existing business.

• Collaborate with internal stakeholders and clients to define data delivery strategies aligned to business requirements and operational outcomes.

• Drive the design and rollout of scalable data solutions, dashboards, and client-facing reporting aligned with SLAs and regulatory expectations.

Workflow Enablement & Process Automation

• Lead automation initiatives through hands-on configuration and governance of workflow solutions, ensuring adoption and scalability across teams.

• Translate business requirements into executable workflow logic, ensuring scalability, accuracy, and flexibility across use cases.

• Lead rapid prototyping and iterative delivery to validate and refine business solutions.

Data Integration & Transformation

• Oversee data mapping and transformation across multiple systems and platforms, including accounting, billing, and client reporting ecosystems.

• Ensure integration strategies align with enterprise APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP).

• Support client onboarding and vendor integrations by defining technical data flows and transformation logic.

• Drive solutions that integrate diverse client data sources (files, APIs, external providers) into standardized onboarding and servicing models.

Governance, Quality & Controls

• Ensure adherence to data governance, lineage, and quality standards across delivery and workflow ecosystems.

• Embed auditability, control reporting, and exception handling within data workflows to support scalable, risk-aware processes.

Platform Adoption & Continuous Improvement

• Promote adoption of workflow and data delivery platforms across teams, driving consistency and reuse.

• Partner with technology teams to enhance platform capabilities, incorporating feedback from business and operational users.

• Continuously expand expertise in emerging technologies including cloud data platforms and AI/GenAI capabilities.

Stakeholder Collaboration & Communication

• Work closely with business SMEs, engineering teams, and client stakeholders to deliver solutions aligned to business objectives.

• Communicate complex technical concepts in a clear, business-friendly manner across all levels of the organization.



To be successful in this role, we’re seeking the following:

• Bachelor’s degree or equivalent experience; advanced degree preferred.

• 10–12 plus years of experience in data delivery, integration, workflow automation, or client solutioning within financial services or technology.

• Strong experience delivering complex data transformation, reporting, or onboarding solutions across multiple systems or business units.

• Experience operating in roles that blend product ownership, business analysis, and data solution design strongly preferred.

• Proficiency with tools such as SQL, Python, ETL platforms, APIs, and modern data platforms (e.g., Snowflake, Databricks).

• Strong understanding of business process design, workflow configuration, and automation principles.

• Experience working with fund accounting, onboarding, billing, or financial data workflows preferred.

• Demonstrated ability to operate across business and technology domains, translating requirements into scalable solutions.

Skills

Data SystemsProduct ManagementData Delivery StrategyWorkflow AutomationData IntegrationCloud Platforms (AWS, Azure, GCP)Data GovernanceStakeholder CollaborationCommunicationContinuous Improvement