Software Engineering Group Manager - Data, Automation, & AI Architecture

PNC Bank•Denver, CO

8d•Onsite

About The Position

PNC is hiring a Software Engineering Group Manager within its Technology organization to lead an architecture team aligned exclusively to the Asset Management Group (AMG). The role may be based in Philadelphia, PA; Columbus, OH; Dallas, TX; Phoenix, AZ; Pittsburgh, PA; Cleveland, OH; or Denver, CO. The team focuses on data, automation, and artificial intelligence architecture, translating AMG business priorities into technology strategies, target-state architectures, reference patterns, and delivery roadmaps. This management-level position builds, leads, and matures the AMG Technology architecture team, connecting the current-state environment to future-state objectives by defining architecture direction, guiding solution design, evaluating technology options, and establishing reusable patterns for wealth and asset management. The role is the primary design and decision authority within AMG Technology for data, automation, and AI architecture, operating within enterprise standards and governance. It helps evaluate, select, standardize, and responsibly scale capabilities while simplifying the technology landscape, improving data quality and accessibility, automating processes, enabling analytics and AI, and reducing unnecessary duplication. The manager partners with AMG business and technology leaders, Enterprise Architecture, Risk, Cybersecurity, Data Management, delivery teams, and other control and enterprise stakeholders. The position requires strategic leadership, strong relationship-building and communication, architecture talent development, and the ability to turn emerging business needs into practical decisions and roadmaps in a complex, highly regulated environment. The role is in-office; PNC does not provide employment visa sponsorship or participate in STEM OPT for this position.

Requirements

Typically, a bachelor's degree or comparable combination of education, job-specific certifications, and experience; higher education or certifications are desirable.
Typically, 8 or more years of industry-relevant experience.
Typically, at least 5 years of prior management experience.
Proven leadership experience with a moderate to large scope of responsibility.
Proven experience leading and developing architecture or senior engineering teams and building high-performing, collaborative groups.
Strong depth in data architecture and engineering, intelligent automation, AI/ML architecture, or solution/platform architecture, with practical breadth across the other domains.
Experience creating data strategies, target-state architectures, integration patterns, data governance approaches, and analytics or AI enablement roadmaps.
Experience evaluating enterprise products, tools, and platforms and translating evaluations into decisions, reference architectures, implementation guidance, and measurable outcomes.
Ability to connect business capabilities and operating processes to technology strategies and architecture decisions.
Knowledge of Business, Application, Solution, Data, Technology, Integration, and Security Architecture.
Working knowledge of data integration and analytics platforms, data catalogs and governance tools, AI/ML platforms, generative AI, workflow and automation platforms, APIs, middleware, event streaming, cloud services, and modern application architectures.
Ability to create architecture deliverables such as capability models, reference architectures, context diagrams, information flows, strategy maps, current- and future-state architectures, architecture decision records, and roadmaps.
Demonstrated ability to influence without direct authority, resolve ambiguity, and drive decisions among business, technology, architecture, delivery, risk, and control stakeholders.
Strong financial services knowledge.
Understanding of responsible AI, data privacy, cybersecurity, records management, model risk, third-party risk, and regulatory considerations relevant to data, automation, and AI solutions.
Relevant skills and competencies include communication, project management, quality assurance, software development and SDLC, stakeholder management, system design, team leadership, technical architecture, version control, application delivery, application development, development tools, IT environments, and software process improvement.
No required certification, license, or language assessment is specified.

Nice To Haves

Experience in wealth management, asset management, investments, trust, brokerage, or related AMG domains.
Professional certifications such as TOGAF, SAFe, AWS/Azure/GCP Data or AI certifications, data management credentials, or automation platform certifications.
Higher education such as a master's degree or PhD.

Responsibilities

Build, lead, mentor, and grow an AMG-aligned team of architects focused on data, automation, and AI.
Enhance the AMG Technology operating model, engagement framework, intake process, and architecture governance mechanisms.
Align architecture capacity and priorities with AMG strategy, annual planning, investment decisions, regulatory commitments, and delivery needs.
Manage talent acquisition, performance, career development, and succession planning for direct reports, while fostering an inclusive, collaborative, psychologically safe team.
Serve as AMG Technology's primary design and decision authority for data, automation, and AI architecture within enterprise standards and governance.
Develop and maintain AMG technology strategies, target-state and reference architectures, standards, patterns, and roadmaps for data, automation, and AI.
Evaluate products, tools, platforms, and capabilities and turn findings into recommendations, architecture decisions, adoption guidance, and investment options.
Guide solution teams through strategy, discovery, design, planning, delivery, and modernization; identify reusable components and common patterns to improve consistency and reduce duplication.
Ensure architecture decisions address security, privacy, scalability, resilience, observability, performance, interoperability, supportability, and regulatory compliance.
Partner with Enterprise Architecture and control functions to ensure solutions comply with enterprise policies and meet AMG business needs.
Define data architecture direction for operational, analytical, and AI use cases, including integration, data products, metadata, lineage, quality, governance, semantic consistency, and consumption patterns.
Partner with data owners, stewards, engineering and analytics teams, and business leaders to make trusted data discoverable, understandable, accessible, and responsibly usable.
Guide modernization of AMG data platforms and integration patterns, balancing target-state direction with pragmatic transition architectures.
Promote governed reuse of data and analytics while protecting confidential, client, employee, and regulated information.
Establish architecture patterns for reporting, advanced analytics, machine learning, generative AI, and agentic solutions using appropriate, well-controlled data.
Define AMG automation architecture strategy across workflow, orchestration, intelligent document processing, robotic process automation, APIs, events, low-code capabilities, and AI-assisted automation.
Partner with product and operations teams to identify valuable automation opportunities and select approaches based on business value, risk, complexity, maintainability, and control requirements.
Promote reusable automation patterns, integration services, and controls; guide teams away from brittle point solutions by establishing sustainable patterns with ownership, monitoring, exception handling, and lifecycle management.
Define AI architecture strategy and reference patterns for machine learning, generative AI, copilots, retrieval-augmented generation, and agentic AI.
Guide responsible AI adoption and scaling, including human oversight, data protection, model and solution governance, traceability, testing, monitoring, and risk management.
Partner with business, product, data science, engineering, risk, legal, compliance, cybersecurity, and enterprise AI stakeholders to evaluate AI use cases and architecture options.
Lead proofs of concept and structured experimentation as needed to validate value, feasibility, integration, controls, and production readiness.
Monitor AI and automation trends and translate them into practical implications, opportunities, guardrails, and AMG roadmaps.
Consult with AMG business and technology leaders on capabilities, architecture choices, capability gaps, and long-term roadmaps.
Analyze AMG business capabilities, processes, information needs, and technology constraints to develop business-outcome-focused recommendations.
Develop and present capability models, context diagrams, information flows, current- and future-state architectures, reference architectures, architecture decisions, transition plans, and roadmaps.
Facilitate architecture reviews and decision forums, making trade-offs, assumptions, risks, dependencies, and recommendations explicit.
Communicate complex technology topics clearly to executives, business partners, engineers, architects, governance bodies, and control partners.
Oversee multiple development projects, development groups, and/or application support functions for a major business segment, including complex organization-wide system development and implementation.
Allocate and ensure resource arrangements throughout the application development life cycle, maintain client relationships to support implementation quality, and provide solutions or recommendations on complex technology issues.
Model PNC values and people-manager expectations, including customer focus, risk management, inclusion, enabling change, achieving results, and developing talent.

Benefits

Medical and prescription drug coverage, including a Health Savings Account feature.
Dental and vision options.
Employee and spouse/child life insurance.
Short- and long-term disability protection.
401(k) with PNC match, pension, and stock purchase plans.
Dependent care reimbursement account.
Back-up child and elder care.
Adoption, surrogacy, and doula reimbursement.
Educational assistance, including select fully paid programs.
Wellness program with financial incentives.
Maternity and/or parental leave.
Up to 11 paid holidays each year.
Nine occasional absence days each year, unless otherwise required by law.
Between 15 and 25 vacation days each year, depending on career level and years of service.
Incentive-eligible compensation based on company, business, and/or individual performance.