Senior Vice President AI/Machine Learning Software Engineer
About the role
About The Company
BNY Mellon is a leading global financial services company with a rich history of innovation and excellence. As a cornerstone of the international financial ecosystem, BNY Mellon provides a comprehensive range of services including asset management, wealth management, and investment services. The company is committed to leveraging cutting-edge technology and innovative solutions to meet the evolving needs of its clients worldwide. With a focus on integrity, client-centricity, and operational excellence, BNY Mellon fosters a dynamic environment that promotes growth, collaboration, and continuous improvement. Recognized for its strong corporate culture and commitment to diversity and inclusion, BNY Mellon remains at the forefront of the financial industry, influencing nearly 20% of the world's investible assets and driving transformative change across markets and communities.
About The Role
We are seeking a highly skilled and experienced Senior Vice President AI/Machine Learning Software Engineer to join BNY Mellon's global payments and trade team based in Pittsburgh. This pivotal role involves providing expert technical guidance and leadership in the development, deployment, and management of advanced machine learning models and systems. The successful candidate will serve as a technical authority, leading strategic initiatives that shape the future of AI-driven solutions within the organization. You will collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to design scalable, efficient, and compliant machine learning pipelines and models. Your expertise will directly impact BNY Mellon's ability to innovate, optimize processes, and deliver superior services to clients worldwide. This role offers a unique opportunity to influence large-scale projects that have a strategic and operational impact on the company's global operations.
Qualifications
The ideal candidate will possess an advanced degree in STEM engineering, computer science, or a related field, with substantial hands-on experience in machine learning and AI. A minimum of 7-9 years of relevant experience in designing, developing, and deploying machine learning solutions in a complex, regulated environment is required. Prior experience in the securities or financial services industry is highly preferred. Candidates should demonstrate a strong understanding of scalable machine learning architectures, model governance, and pipeline automation. Proven leadership skills, excellent problem-solving abilities, and effective communication skills are essential for success in this role. Familiarity with industry standards, compliance requirements, and data privacy regulations will be advantageous.
Responsibilities
The Senior Vice President AI/Machine Learning Software Engineer will be responsible for a broad range of strategic and technical activities, including:
Providing comprehensive senior-level technical consulting to machine learning teams and stakeholders, serving as a subject matter expert in model deployment and pipeline technologies.
Leading end-to-end planning, development, and oversight of large-scale machine learning initiatives with significant strategic impact.
Collaborating closely with business units to resolve complex machine learning and pipeline issues, ensuring compliance with data governance standards, and maintaining optimal pipeline functionality.
Developing detailed flowcharts, system layouts, and documentation to meet project requirements and facilitate seamless integration of automated lifecycle components.
Defining implementation strategies for model integration, performance tuning, and ongoing pipeline optimization to ensure robust and scalable solutions.
Staying abreast of emerging AI and machine learning trends, evaluating new tools and methodologies to enhance existing systems and processes.
Benefits
BNY Mellon offers a comprehensive benefits package designed to support the health, well-being, and professional growth of its employees. Benefits include competitive compensation, health insurance plans, retirement savings options, and paid time off. The company also promotes a culture of continuous learning through training programs, mentorship opportunities, and access to industry-leading resources. Employees are encouraged to participate in diversity and inclusion initiatives, wellness programs, and community engagement activities. BNY Mellon values work-life balance and provides flexible working arrangements to accommodate personal and professional needs. Joining BNY Mellon means becoming part of a global organization committed to innovation, excellence, and making a meaningful impact across industries and communities worldwide.
Equal Opportunity
BNY Mellon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected characteristic. We believe that a diverse workforce fosters innovation, enhances decision-making, and reflects the communities we serve. All qualified applicants will receive consideration for employment without regard to any protected status. We are dedicated to providing equal employment opportunities and ensuring a workplace free of discrimination and harassment.
Responsibilities
- Providing comprehensive senior-level technical consulting to machine learning teams and stakeholders.
- Leading end-to-end planning, development, and oversight of large-scale machine learning initiatives.
- Collaborating closely with business units to resolve complex machine learning and pipeline issues.
- Developing detailed flowcharts, system layouts, and documentation to meet project requirements.
- Defining implementation strategies for model integration, performance tuning, and ongoing pipeline optimization.
- Staying abreast of emerging AI and machine learning trends.
Qualifications
- Advanced degree in STEM engineering, computer science, or a related field.
- 7-9 years of relevant experience in designing, developing, and deploying machine learning solutions.
- Strong understanding of scalable machine learning architectures, model governance, and pipeline automation.
- Proven leadership skills and excellent problem-solving abilities.
- Familiarity with industry standards, compliance requirements, and data privacy regulations.
Benefits
- Competitive compensation.
- Health insurance plans.
- Retirement savings options.
- Paid time off.
- Training programs and mentorship opportunities.
- Flexible working arrangements.