Senior Delivery Lead - GenAI Platform Team
About The Position
The Senior Delivery Lead supports the GenAI Product Team for Orchestra AI, Bank of America’s enterprise Generative AI platform serving all eight lines of business. Orchestra AI provides scalable, secure, and resilient capabilities across multi-cloud and on-premises environments, using frontier, proprietary, and open-source models. The role owns executive communications, the portfolio roadmap, product operating cadence, decision materials, risk and dependency tracking, and the cross-team alignment model. The position plans and coordinates large program deliverables across organizations, ensuring execution meets expected outcomes, timelines, and costs. It facilitates coordination between business and technology leaders and Risk and Compliance partners; supports resource planning and financial management; tracks program health, risks, compliance, and delivery; and communicates progress and decisions to leadership and stakeholders. The role is based at Two Bryant Park in New York, New York, and is assigned to first shift. The position is benefits eligible and participates in an annual discretionary incentive plan. The listed annualized salary range is $115,000 to $190,000, with offers determined by experience, education, and skill set.
Requirements
- Bachelor’s degree or equivalent professional experience.
- Experience with agile development methodologies and DevOps practices.
- Ability to understand complex application architectures to support setup of Continuous Integration, Continuous Deployment, and Continuous Testing.
- Hands-on DevOps experience with version control tools such as GIT/Bitbucket, build orchestration such as Jenkins, code quality and unit testing frameworks such as SonarQube, artifact management such as Artifactory, and deployment tools such as Ansible.
- Hands-on application development experience in one or more of Python, MongoDB, Redis, React Framework, Impala, Spark, Autosys, shell scripting, REST services, or containerization.
- Hands-on experience with Unix/Linux, including LDAP-based authentication integration and clustering.
- Strong understanding of software architecture principles.
- Experience with enterprise integration patterns.
- Ability to communicate technical issues, incident resolution, readiness status, and reporting effectively and clearly.
- Excellent analytical and problem-solving skills.
- Ability to communicate effectively with a wide range of audiences, including business stakeholders and developer support teams.
- Detail-oriented and highly organized.
- Adaptable to shifting and competing priorities.
- Skilled at delegating, mentoring, and setting expectations.
- Committed and proactive in ensuring high-quality service.
Nice To Haves
- Experience developing frameworks and tools specific to AI/ML applications.
- Familiarity with cloud platforms and development in cloud environments.
- Experience with database build deployment using Datical and release orchestration.
Responsibilities
- Lead and coordinate delivery routines for large programs, including kick-offs, status reviews, stakeholder meetings, change controls, and tollgates.
- Build relationships with business and technology leaders across organizations, as well as Compliance and Risk partners.
- Establish target outcomes in partnership with stakeholders and leaders.
- Track success metrics and provide stakeholders and leadership with updates on outcomes, delivery, performance, risks, issues, and schedules.
- Collaborate with sponsors and stakeholders to align execution with deliverable requirements.
- Manage program financials and support resource planning.
- Ensure adherence to Enterprise Change Management standards.
- Prepare executive-ready senior leadership decks and product review content.
- Coordinate with product leads to communicate priorities, milestones, blockers, and tradeoffs.
- Provide portfolio status reporting across products and maintain visibility into active co-development engagements.
- Develop clear product narratives connecting technical delivery to business outcomes and enterprise AI strategy.
- Track cross-team risks, dependencies, leadership requests, and decision follow-up.
- Establish operating cadence for product and roadmap reviews, executive updates, and stakeholder forums.
Benefits
- Benefits eligibility
- Access to paid time off
- Annual discretionary incentive plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
