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

PNC•Strongsville, OH

1d•$146,300 - $298,870•Onsite

About The Position

At PNC, the Software Engineering Group Manager is part of the Technology organization and leads an architecture team aligned exclusively to the Asset Management Group (AMG) line of business. 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. The position is based in Philadelphia, Columbus, Dallas, Phoenix, Pittsburgh, Cleveland, or Denver. PNC describes itself as an in-office company and encourages candidates to discuss workplace expectations with their recruiter and hiring manager. This management-level role builds, leads, and develops an AMG Technology architecture team dedicated to data, automation, and AI. It connects AMG's current technology environment to future objectives by defining architecture direction, guiding solution design, evaluating technology options, and establishing reusable patterns for wealth and asset management businesses. The role is the primary design and decision authority for these architecture domains within AMG Technology, operating within enterprise standards and governance. The manager develops AMG strategies, target-state and reference architectures, standards, patterns, and roadmaps; guides solution teams through strategy, discovery, design, planning, delivery, and modernization; and helps evaluate, select, standardize, and responsibly scale capabilities. The work includes improving data quality and access, automating business processes, enabling analytics and AI, and reducing unnecessary duplication. The role collaborates with AMG business and technology leaders, Enterprise Architecture, Risk, Cybersecurity, Data Management, delivery teams, and other control and enterprise stakeholders. It requires clear communication with executives and practitioners, trusted relationship-building, architecture talent development, and the ability to turn emerging needs into actionable decisions. The successful candidate will bring leadership experience and depth in data, solution, platform, automation, or AI/ML architecture, along with working knowledge of business architecture and financial services controls. The role includes team and talent management, architecture governance, strategic consultation, product and platform evaluation, architecture reviews, and guidance on responsible use of data and AI. PNC will not provide employment visa sponsorship or participate in STEM OPT for this position.

Requirements

Proven experience leading and developing architecture or senior engineering teams, including 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 AMG business capabilities and operating processes to technology strategies and architecture decisions.
Knowledge across 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 and understanding of wealth management, asset management, investments, trust, brokerage, or related AMG domains; related domain experience is highly valued.
Understanding of responsible AI, data privacy, cybersecurity, records management, model risk, third-party risk, and regulatory considerations relevant to data, automation, and AI.
Typically requires a university or college degree; a comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
Industry-relevant experience is typically 8 or more years.
At least 5 years of prior management experience is typically required.
Proven leadership experience with a moderate to large scope of responsibility is required.
Preferred skills include communication, project management, quality assurance, software development, SDLC, stakeholder management, system designs, team leadership, technical architecture, and version control.
Competencies include application delivery process, client/server and object-oriented application development, application development tools, application localization and internationalization, IT environment, and software process improvement.
No required certification or license.
No required or preferred language assessments.

Nice To Haves

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

Responsibilities

Build, lead, mentor, and grow an AMG-aligned team of architects focused on data, automation, and AI.
Enhance AMG Technology's 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.
Foster continuous learning, intellectual curiosity, disciplined engineering, collaboration, inclusion, respect, and psychological safety.
Manage talent acquisition, performance, career development, and succession planning for direct reports.
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 architectures, 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 data, automation, and AI solution teams across strategy, discovery, design, planning, delivery, and modernization.
Identify reusable components and patterns across AMG portfolios to improve consistency, reduce duplication, and accelerate time to value.
Ensure architecture decisions address security, privacy, scalability, resilience, observability, performance, interoperability, supportability, and regulatory compliance.
Partner with Enterprise Architecture and control functions to meet enterprise policies and AMG-specific 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.
Work with data owners, stewards, engineering and analytics teams, and business leaders to make trusted data easier to discover, understand, access, and use responsibly.
Guide modernization of AMG data platforms and integration patterns, balancing target-state direction with pragmatic transition architectures.
Promote governed reuse of data and analytics capabilities while protecting confidential, client, employee, and regulated information.
Establish architecture patterns for reporting, advanced analytics, machine learning, generative AI, and agentic solutions using fit-for-purpose, 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.
Identify high-value automation opportunities with product and operations teams and select approaches based on business value, risk, complexity, maintainability, and control requirements.
Promote reusable automation patterns, integration services, and controls that reduce manual effort and improve process reliability.
Establish sustainable automation patterns with clear 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 adoption and scaling of AI, 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 use cases and architecture options.
Lead proofs of concept and structured experimentation as needed to validate value, feasibility, integration, control requirements, and production readiness.
Monitor AI and automation trends and translate them into practical implications, opportunities, guardrails, and roadmaps for AMG.
Advise AMG business and technology leaders on data, automation, and AI capabilities, architecture choices, capability gaps, and long-term roadmaps.
Analyze business capabilities, processes, information needs, and technology constraints to develop recommendations grounded in business outcomes, enterprise standards, and engineering principles.
Develop and present architecture deliverables, including capability models, context diagrams, information flows, current- and future-state architectures, reference architectures, 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.
Manage multiple development projects, development groups, and/or application support functions for a major business segment.
Oversee development and implementation of multiple complex, organization-wide systems.
Allocate and ensure resource arrangements during the application development life cycle.
Maintain client relationships to ensure application system implementation quality.
Provide solutions or recommendations for complicated technology issues in application development and implementation.
Demonstrate customer focus, manage risks in alignment with PNC's Enterprise Risk Management Framework, cultivate diverse and inclusive teams, role-model PNC values, drive change and innovation, take ownership of results, and develop talent.

Benefits

Medical and prescription drug coverage, with 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 programs that are fully paid.
Wellness program with financial incentives.
Maternity and/or parental leave, depending on eligibility.
Up to 11 paid holidays each year, depending on eligibility.
9 occasional absence days each year, unless otherwise required by law, depending on eligibility.
Between 15 and 25 vacation days each year depending on career level and eligibility.
Additional time off based on years of service.
Incentive-eligible compensation based on company, business, and/or individual performance.