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

PNC

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Quick summary

Work type: On-site
Location: Philadelphia, PAColumbus, OHDallas, TXPhoenix, AZPittsburgh, PACleveland, OHDenver, CO
Salary: $146,300–$298,870 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k

This role $223k

$128k $317k

below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $185,500–$259,250 — the blue band above. At the midpoint, this role pays about $223k versus about $222k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 170 open roles on FindRole.

Listed pay typically runs $91,000–$172,500 across 25 roles with salary data.

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At a glance

TL;DR · Software Engineering Group Manager, Data, Automation, & AI Architecture

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As a Software Engineering Group Manager - Data, Automation, & AI Architecture, you will lead an architecture team within the AMG Technology organization. You will be responsible for building and maturing this team to translate Asset Management Group business priorities into practical technology strategies, target-state architectures, and delivery roadmaps. Your daily work involves guiding solution designs, evaluating technology options, and establishing reusable patterns for wealth and asset management businesses. You will utilize expertise in data integration, analytics platforms, AI/ML platforms, generative AI, and workflow automation platforms. The role focuses on modernizing AMG capabilities by improving data quality, automating business processes, and enabling advanced analytics while ensuring compliance with financial services regulations, cybersecurity standards, and privacy requirements. You will serve as the primary design authority for responsible AI and automation scaling.

Skills

Data Architecture AI/ML Generative AI Automation Robotic Process Automation APIs Event Streaming Cloud Services Data Integration Data Governance Metadata data, lineage Machine Learning Retrieval-Augmented Generation AWS Azure GCP TOGAF SAFe SDLC Version Control System Design Middleware Intelligent Document Processing

What you'll do

Build, lead, and mentor a team of architects focused on data, automation, and AI domains.
Develop and maintain technology strategies, target-state architectures, and delivery roadmaps for the Asset Management Group.
Serve as the primary design and decision authority for data, automation, and AI architecture within the business unit.
Evaluate products, tools, and platforms to provide clear recommendations and investment options for technology adoption.
Define data architecture direction for operational and analytical use cases, including integration, quality, and governance.
Establish automation strategies for workflow orchestration, robotic process automation, and AI-assisted automation.
Guide the responsible scaling of AI capabilities, including generative AI and machine learning, while ensuring risk management.
Provide strategic consultation to business leaders on capability gaps, architecture choices, and long-term technology roadmaps.

What we're looking for

Bachelor's degree is required, though a comparable combination of education, certifications, and experience may be considered.
At least 8 years of industry-relevant experience is typically required.
At least 5 years of prior management experience is typically required.
Proven leadership experience with a moderate to large scope of responsibility is required.
Strong depth in data architecture, intelligent automation, AI/ML architecture, or solution/platform architecture is required.
Knowledge of business, application, solution, data, technology, integration, and security architecture is required.
Working knowledge of data integration, AI/ML platforms, generative AI, and cloud services is required.
Professional certifications such as TOGAF, SAFe, or AWS/Azure/GCP Data or AI certifications are a plus (preferred).

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