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Csv Manager Jobs in Rochester, NY (NOW HIRING)

AI Engineer - Manufacturing Data

Rochester, NY · On-site

$113K - $135K/yr

Design and build automated pipelines that replace manual CSV exports with sustainable, auditable ... Project ownership - able to manage projects independently, set priorities, and deliver without ...

Csv Manager information

See Rochester, NY salary details

$28.6K

$103.2K

$116.4K

How much do csv manager jobs pay per year?

As of Jul 18, 2026, the average yearly pay for csv manager in Rochester, NY is $103,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $114,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a CSV Manager in maintaining regulatory compliance across multiple projects?

A CSV (Computer System Validation) Manager often manages several projects simultaneously, each with unique regulatory requirements. One major challenge is ensuring that all validation documentation remains current and audit-ready, despite frequent software updates or process changes. Additionally, coordinating with cross-functional teams such as IT, Quality Assurance, and Operations can be demanding, as priorities and timelines may differ. Staying updated with evolving industry regulations and effectively training team members are also essential to maintaining consistent compliance.

What is a CSV Manager?

A CSV Manager is a software tool or professional responsible for handling, organizing, and processing CSV (Comma-Separated Values) files. These files are commonly used for storing and exchanging data in a simple text format, making them popular for data imports and exports in various applications. A CSV Manager ensures that the data within these files is correctly formatted, validated, and sometimes transformed for compatibility with databases or other systems. They may also automate workflows involving large amounts of CSV data to improve efficiency and accuracy.

What is the difference between Csv Manager vs Data Analyst?

AspectCsv ManagerData Analyst
Required CredentialsExperience with CSV data management, basic database skillsDegree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentData management teams, IT departmentsBusiness analysis teams, research departments
Employer & Industry UsageUsed in industries handling large CSV datasets, such as logistics and financeUsed across industries for interpreting data, reporting, and decision-making

The Csv Manager primarily focuses on managing and organizing CSV data files, ensuring data integrity and accessibility. In contrast, a Data Analyst interprets data, creates reports, and provides insights. While both roles work with data, Csv Managers specialize in data handling, whereas Data Analysts focus on analysis and interpretation.

What are the key skills and qualifications needed to thrive as a CSV Manager, and why are they important?

To thrive as a CSV (Computer System Validation) Manager, you need a strong background in GxP regulations, validation methodologies, and a degree in life sciences, engineering, or a related field. Familiarity with validation lifecycle documentation, risk assessment tools, and regulatory standards like FDA 21 CFR Part 11 is typically required. Outstanding project management, attention to detail, and strong communication skills make a CSV Manager stand out in ensuring compliance and leading cross-functional teams. These competencies are crucial for ensuring validated systems meet regulatory requirements and support business operations in highly regulated industries.
What cities near Rochester, NY are hiring for Csv Manager jobs? Cities near Rochester, NY with the most Csv Manager job openings:
AI Engineer - Manufacturing Data

AI Engineer - Manufacturing Data

Bausch + Lomb

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Bausch & Lomb rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

27th of 528 rated manufacturers


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
Objective:
This role sits at the intersection of the plant floor and the data platform. We are building our data and AI capability from the ground up - replacing fragmented systems, manual CSV exports, and information gaps with reliable pipelines, clean data, and intelligent tools. The first mission is foundational: build the infrastructure that gives operations, quality, and maintenance teams the visibility they need to make faster, better decisions. From there, this role will lead the application of agentic AI and ML platforms to automate workflows, surface insights, and scale impact across the plant. Success is measured by solutions shipped, adopted, and making a measurable difference on the floor.
Key Responsibilities:
Data Foundation & Pipeline Engineering
  • Assess current plant data infrastructure - identify where data is missing, poorly structured, or trapped in manual processes.
  • Design and build automated pipelines that replace manual CSV exports with sustainable, auditable data flows.
  • Integrate data from ERP, MES, QMS, and shop floor systems into unified reporting environments.
  • Ensure all pipelines and collection methods meet GxP and ISO documentation and validation requirements.

Analytics, Visualization & AI
  • Build dashboards and reports that translate manufacturing data into actionable insights for operators, supervisors, and leadership.
  • Develop Power Apps and Power Automate workflows that reduce manual effort for quality, maintenance, and operations teams.
  • Apply manufacturing knowledge - OEE, yield, cycle time, process variation - to ensure analytics are practically useful.
  • Build AI-powered agents and workflows using Microsoft Copilot Studio or Claude, starting with shift handover, production reporting, and maintenance tracking.
  • Integrate Azure AI services (Azure OpenAI, AI Search, Document Intelligence) to create intelligent tools that reason, retrieve, and respond.
  • Ensure all AI solutions are validated, documented, and auditable in a GxP/ISO environment.

Collaboration & Continuous Improvement
  • Work directly with plant supervisors, maintenance leads, quality engineers, and operations personnel to gather requirements and validate solutions.
  • Champion data-driven decision-making by building trust in data quality through consistent, reliable delivery.
  • Collaborate with IT Infrastructure Operations on hosting, access controls, data architecture, and compliance.
  • Lead projects for implementing or improving QMS, analytics, and automation software from requirements through sustainment.

Education/Experience:
  • Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, or related field required.
  • 3+ years of hands-on relevant experience strongly preferred; experience with manufacturing data systems, including ERP, MES, or QMS platforms.
  • Demonstrated history of delivering working solutions - dashboards, automations, integrations, or AI tools actively used in production.

Skills:
Required
  • Manufacturing fluency - genuine understanding of manufacturing processes, quality systems, and operational workflows; able to translate floor requirements into technical solutions.
  • Power BI, Power Apps & Power Automate - experienced building workflow automation and plant-facing applications.
  • Data pipeline & integration - design data collection structures, build integrations, and replace manual processes with reliable automated flows.
  • Agentic AI - hands-on experience building AI agents or Copilot solutions; not just using LLMs but building with them.
  • Systems integration - connecting ERP, MES, QMS, and shop floor systems into unified reporting environments.
  • Regulated environment - comfortable within GxP and/or ISO frameworks where solutions must be validated and documented.
  • Project ownership - able to manage projects independently, set priorities, and deliver without waiting for complete direction.
  • Communication - equally credible with a maintenance technician on the floor and with plant leadership.

Preferred
  • SQL - writing and modifying queries for extraction, transformation, and validation.
  • Azure AI services - Azure OpenAI, AI Search, Document Intelligence, or Data Factory.
  • Python - basic scripting for data manipulation, pipeline automation, or API integration.
  • Lean / Six Sigma - Green Belt or Black Belt.
  • Shop floor data systems - historian platforms, SCADA, or similar real-time sources.
  • Life sciences / pharmaceutical manufacturing - familiarity with FDA-regulated environments and data integrity requirements

This position may be available in the following location(s): Rochester, NY
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For U.S. locations that require disclosure of compensation, the starting pay for this role is between $81,600 and $110,400. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.
U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.
To learn more please read Bausch + Lomb's Job Offer Fraud Statement.
Our Benefit Programs: Employee Benefits: Bausch + Lomb
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853