Software Engineering Manager Senior - Data and Automation - Machine Learning Operations

PNC

Quick summary

Work type
On-site
Location
Strongsville, OHDenver, COPittsburgh, PADallas, TX
Salary
$80,000–$217,100 / yr
Posted
11 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $149k
$58k most similar roles pay here $282k

This role pays less than 92% of similar roles. Most pay $186,843–$246,562 — the shaded band above. At the midpoint, this role pays about $149k versus about $217k 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 147 open roles on FindRole.

Listed pay typically runs $86,250–$185,900 across 53 roles with salary data.

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View all roles at PNC

At a glance

TL;DR · Software Engineering Manager Senior - Data and Automation - Machine Learning Operations

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As a Senior Software Engineering Manager in PNC's Data and Automation organization, you will lead ML Ops initiatives by defining and executing the enterprise MLOps roadmap, integrating cutting-edge tools like AWS SageMaker and MLflow for feature stores and model deployment. You will collaborate with data science teams to provide scalable solutions while establishing best practices for model management and security. Your role involves mentoring development teams onshore and offshore, fostering excellence in MLOps through continuous evaluation of new technologies and their integration into the tech stack. Key skills include expertise in ML lifecycle platforms, CI/CD pipelines (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and infrastructure as code practices (Terraform, CloudFormation). This role addresses critical business needs by ensuring a robust, compliant, and efficient ML platform at scale.

Skills

AWS SageMaker MLflow Kubernetes Terraform CloudFormation Docker CI/CD Jenkins GitLab CI OpenShift MLOps ML PostgreSQL

What you'll do

  • Define and execute the enterprise MLOps roadmap using cutting-edge tools.
  • Partner with data science teams to provide scalable MLOps solutions.
  • Establish best practices for model management, versioning, and security.
  • Provide technical guidance to development teams onshore and offshore.
  • Evaluate new technologies like AWS SageMaker and MLflow for integration.

What we're looking for

  • Proven leadership in MLOps systems and initiatives.
  • Expertise in ML lifecycle platforms (MLflow, Kubeflow, AWS SageMaker).
  • Experience with CI/CD tools (Jenkins, GitLab CI) and containerization (Docker, Kubernetes).
  • Knowledge of infrastructure as code practices (Terraform, CloudFormation).
  • Ability to drive hybrid/on-prem deployments using OpenShift and Kubernetes.
  • Technical guidance and mentorship for development teams in MLOps.

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