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Remote Distribution Jobs in New London, CT (NOW HIRING)

Harriscomputer

Director Development

Carolina, RI · Remote

Remote - U.S. Altera TouchWorks is seeking a high-impact Director, Development to lead multiple ... They must be comfortable leading geographically distributed teams - managing multi-timezone ...

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Remote Distribution information

See New London, CT salary details

$16

$43

$70

How much do remote distribution jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote distribution in New London, CT is $43.75, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $51.59 per hour, depending on experience, location, and employer.

What is a remote distribution?

A Remote Distribution job involves managing the flow of goods, services, or digital products from a remote location. Responsibilities may include coordinating shipments, tracking inventory, processing orders, or overseeing digital content distribution. These roles often require strong organizational and communication skills, as well as familiarity with logistics software or digital platforms. Remote Distribution jobs are common in industries like e-commerce, supply chain management, and digital media.

What are the key skills and qualifications needed to thrive in the remote distribution position?

To excel in a Remote Distribution role, you need strong organizational skills, attention to detail, and experience with supply chain or logistics management, often supported by a background in business, logistics, or a related field. Familiarity with inventory management software, enterprise resource planning (ERP) systems, and shipment tracking tools is typically required. Excellent communication, problem-solving skills, and the ability to work independently in a remote setting help individuals thrive. These skills are vital for ensuring accurate, timely distribution of goods, maintaining operational efficiency, and collaborating effectively with dispersed teams.

What are some common challenges faced in a remote distribution role and how can they be addressed?

Some common challenges in a Remote Distribution position include coordinating shipments across time zones, maintaining communication with suppliers and clients remotely, and ensuring inventory accuracy without being on-site. These challenges can be addressed by leveraging real-time tracking and inventory management tools, setting clear expectations with partners, and scheduling regular virtual check-ins. Professionals who embrace technology and proactive communication tend to adapt well to the remote nature of the work. Continuous learning and staying organized are also key to overcoming these hurdles and succeeding in the role.

What job categories do people searching Remote Distribution jobs in New London, CT look for?

The top searched job categories for Remote Distribution jobs in New London, CT are:

What cities near New London, CT are hiring for Remote Distribution jobs?

Cities near New London, CT with the most Remote Distribution job openings:

Remote Distribution jobs near you
Infographic showing various Remote Distribution job openings in New London, CT as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $91,002 per year, or $43.8 per hour.

AI Platform Director - Data Engineering

First Citizens Bank

Carolina, RI • On-site, Remote

$254K/yr

Full-time

Re-posted 17 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

107th of 175 rated banks

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina or Arizona

We are seeking an experienced Director to lead the AI platform engineering and enablement functions within our expanding Cloud Data and AI Platform organization. This role is instrumental in building, operationalizing, and governing the next-generation AI and machine learning ecosystem that powers advanced analytics and responsible AI adoption across the bank. You will own the end-to-end AI lifecycle—from data and model development to MLOps, deployment, governance, and responsible AI compliance in a regulated financial environment.

As a seasoned technology leader, you will bring your expertise in enterprise AI architecture, model operations, and platform engineering to partner with key business, technology, and governance stakeholders—ensuring AI initiatives are responsibly implemented, well-controlled, and deliver measurable value. 


Responsibilities & Qualifications

AWS AI/ML Platform Ownership

  • Architect and lead AI/ML workloads on AWS including:
    • Amazon SageMaker (training, deployment, model registry)
    • AWS Bedrock (foundation models and GenAI use cases)
    • AWS Lambda, ECS, EKS for model serving
    • S3, Glue, Snowflake for data pipelines
  • Define enterprise standards for MLOps, feature stores, and model lifecycle management
  • Build and maintain integrations with enterprise platforms for data ingestion, metadata management, tokenization, and control evidence generation. 
  • Continuously enhance the platform’s automation, resilience, and observability, ensuring robust end-to-end telemetry for both model and data pipelines. 
  • Collaborate with Enterprise Risk, Legal, Compliance, and Model Risk partners to embed Responsible AI principles and audit-ready control evidence directly into platform design. 

Machine Learning & GenAI Execution

  • Oversee development of ML models across all business units including Fraud detection systems, Credit scoring and risk modeling, Customer segmentation and personalization, Liquidity related modeling etc.
  • Lead GenAI initiatives using LLMs for Document intelligence, AI copilots etc.

 

Data & Engineering Collaboration

  • Partner with data engineering teams to ensure high-quality, governed datasets
  • Define feature engineering and data product standards in Snowflake / data lake environments
  • Integrate real-time streaming data for low-latency decision systems

 

Model Governance & Risk Compliance

  • Define and enforce standards, patterns, and guardrails for model deployment, explainability, lineage, and monitoring in alignment with enterprise risk, compliance, and security frameworks. 
  • Partner closely with leaders across Responsible AI Governance, AI Portfolio Management, AI Fluency & Engagement, and Applied Data Science & GenAI, in collaboration with enterprise risk partners, to implement a responsible AI framework that embeds audit-ready control evidence and governance mechanisms directly into the platform’s core design to ensure the platform supports scalable, ethical, compliant, and high-impact AI delivery. 
  • Implement model explainability (SHAP, LIME, interpretability frameworks)
  • Establish responsible AI policies (bias detection, fairness, auditability)

 

Team Building & Leadership

  • Develop and mentor engineering talent, championing Agile practices, continuous learning, and adoption of emerging AI and data engineering technologies. 
  • Mentor senior technical leaders and establish engineering best practices
  • Oversee technical due diligence, onboarding, and management of strategic AI and GenAI vendors and tools, ensuring compatibility with enterprise architecture and control.

Bachelor's Degree and 8 years of experience in Information Technology including application development, support roles, and management.

OR

High School Diploma or GED and 12 years of experience in Information Technology including application development, support roles, and management.

Qualifications

  • Deep hands-on experience building production ML systems on AWS
  • 2+ years in AI/ML, data science, or data engineering leadership roles
  • Strong knowledge of:
    • Machine learning (XGBoost, deep learning, NLP, time series)
    • MLOps practices (CI/CD, model monitoring, drift detection)
    • Distributed systems and cloud architecture
  • Strong programming background in Python + SQL (Scala/Java a plus)
  • Experience working in regulated environments with model governance

Preferred Qualifications

  • Experience with Generative AI / LLM platforms (Bedrock, OpenAI, Claude APIs)
  • Experience in financial services, banking, fintech, or insurance
  • Familiarity with data platforms like Snowflake, Databricks

#LI-JM1


Additional Information

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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