Lead product strategy, architecture, and talent for core ledger systems and banking platform modernization within Capital One’s Retail Bank modernization organization.
Locations (2)
McLean, Virginia, United States
New York, New York, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management
Responsibilities
Drive product strategy across core ledger systems and EOD processes
Manage complex financial logic and automated processing
Lead and develop a team of product managers
Execute technical roadmaps for ledger integrations and migrations
Requirements
Bachelor's or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems)
Bachelor's degree in any field and 4 years of Product Management experience
Nice to have: Translating business strategy into consumer-facing digital products
Lead end-to-end product delivery across multiple products and platforms in a global IT environment, ensuring release readiness, governance, and stakeholder alignment.
Locations (2)
Charlotte, North Carolina, United States
Corning, New York, United States
Compensation
The range for this position is $118,426.00 - $162,837.00 assuming full time status.
Responsibilities
Apply Technical Product Management expertise to partner with Product Managers, Product Owners, architects, and engineering leads on technical roadmaps, platform and integration dependencies, non-functional requirements, technical debt, and build/buy/configure trade-offs.
Lead end-to-end delivery for assigned products and platforms, partnering with Product Managers and Product Owners to turn roadmaps and prioritized backlogs into transparent, achievable release plans.
Manage delivery cadence, release sequencing, capacity, milestones, and cross-product dependencies; facilitate planning, review, and readiness forums, remove impediments to team flow, and coordinate business, architecture, engineering, security, quality, compliance, finance, vendor, and operations partners to resolve constraints and assure integrated delivery.
Lead and design enterprise AI platforms and solutions for ECI clients, combining strategic architecture with hands‑on technical leadership across generative AI, agentic AI, and AI‑enabled workflows.
Responsibilities
Lead discovery workshops and translate business, data, security, compliance, and operational requirements into enterprise AI architecture.
Define reusable reference architectures for generative AI, agentic AI, RAG, GraphRAG, knowledge platforms, and AI‑enabled business workflows.
Own architecture decisions across Azure AI Foundry, Azure OpenAI, Copilot Studio, Microsoft Fabric, Azure AI Search, Power Platform, SharePoint, and related Azure services.
Design multi‑agent orchestration, tool‑calling, Model Context Protocol (MCP), memory, reasoning, and human‑in‑the‑loop patterns.
Define AI governance, Responsible AI, security, identity, networking, data protection, content‑safety, and approval guardrails in partnership with security and compliance teams.
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experience.
Lead a team of engineers building and designing a product that customers and associates love, contributing to foundational code, architecture, and product documentation.
Compensation
The pay range for this position is between $120,000.00 - $190,000.00
Responsibilities
Develop, test, deploy, and maintain software
Create test suites for functional, destructive, and performance testing
Collaborate with product team to ensure user stories are developer ready
Guide junior engineers on modern development frameworks and technical discussions
Lead enterprise-scale solution architecture for a cloud-native, IoT-enabled platform in the life sciences and clinical diagnostics industry.
Compensation
The expected base salary for this position ranges from $55.00 to $63.00/hour.
Responsibilities
Define and lead end-to-end architecture, technical roadmap, and modernization strategy
Design scalable, modular, cloud-native architecture across application, transport, and processing layers
Lead cloud and IoT architecture supporting device connectivity, real-time telemetry, instrument health monitoring, event processing, remote commands, software updates, and large-file transfers
Architect secure, reliable device communications for customer firewalls, restricted networks, intermittent connectivity, and air-gapped environments
Define data engineering and processing architecture, including ingestion pipelines, ETL, operational data stores, analytics, and event-driven processing
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related technical discipline
The Senior Product Manager, Enterprise AI will provide end-to-end product leadership for priority AI initiatives, from opportunity identification and intake through prioritization, delivery, adoption, and benefits realization.
Compensation
INCORPORATED RATE RANGE (7.25 billable hours per day) - $88.92/hr - $106.84/hr Inc. T4 RATE RANGE (7.25 billable hours per day) - $71.14/hr - $85.47/hr T4
Responsibilities
Lead the intake, assessment, and prioritization of enterprise AI opportunities and use cases.
Develop and maintain the enterprise AI roadmap, balancing business value, strategic alignment, feasibility, data readiness, risk, and delivery capacity.
Identify business needs, enterprise data priorities, and capability gaps through engagement with stakeholders across the organization.
Translate business challenges into clearly defined AI products, use cases, requirements, outcomes, and success measures.
Provide product leadership across the lifecycle, from discovery and experimentation through implementation, adoption, and continuous improvement.
Design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products.
Compensation
Pay rate: 100$/hour on Incorp
Responsibilities
Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.
Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
Design reusable data products and common data models that can support multiple business and AI use cases.
Contribute to the organization's future-state data architecture, including transition from existing platforms and architectures.
Identify and define critical data assets and domains required to support enterprise priorities.
Requirements
Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent experience.
Nice to have: Understanding of data governance, data ownership, lineage, security, privacy, and information lifecycle management
Nice to have: Knowledge of modern architecture approaches such as data lakehouse, data products, domain-oriented architecture, and cloud-based data platforms
Nice to have: Ability to translate complex business and technical requirements into practical architecture standards, models, and patterns
Embed controls and lead release readiness, including testing, approvals, compliance evidence, cutover, support handoff, and documented Go/No-Go decisions.
Provide clear leadership reporting on product health, risks, dependencies, and readiness; manage delivery budgets, forecasts, and vendor commitments.
Requirements
Bachelor’s degree in Information Technology, Business, Engineering, Computer Science, or a related field.
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