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Data Manager Jobs in Rochester, NY (NOW HIRING)

Data Entry Analyst

Rochester, NY · On-site

$16 - $20/hr

The ideal candidate for this role is well-organized, analytical, and interested in developing expertise within enterprise systems and data management through SAP Global. While prior experience with ...

The ideal candidate for this role is well-organized, analytical, and interested in developing expertise within enterprise systems and data management through SAP Global. While prior experience with ...

Professional, Data Engineer

Rochester, NY

$113K - $135K/yr

Minimum 3 years' experience with direct data analysis and data management, preferable in a health care environment. * 3+ years' relevant experience in data warehousing techniques and technology, or ...

Professional, Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Minimum 3 years' experience with direct data analysis and data management, preferable in a health care environment. * 3+ years' relevant experience in data warehousing techniques and technology, or ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Cyber Data Protection Manager

Rochester, NY · Remote

$109K - $148K/yr

Cyber Data Protection Manager Are you passionate about helping leading organizations reduce cyber risk, protect critical data, and build resilience in an increasingly complex digital world? If so ...

MDM PIM Manager

Rochester, NY · On-site

$99K - $232K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and ... You will be responsible for managing data operations, including data acquisition, transformation ...

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Data Manager information

See Rochester, NY salary details

$30.6K

$95.9K

$169.8K

How much do data manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data manager in Rochester, NY is $95,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in database management, data analysis, and certifications like CDMP or CBIP tend to earn higher salaries.

What does a data manager work?

A data manager is responsible for organizing, maintaining, and ensuring the accuracy and security of data within an organization. They often oversee data collection processes, implement data management systems, and use tools like databases and data analysis software. Strong attention to detail and knowledge of data governance are essential for this role.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications, regardless of age.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
What are the most commonly searched types of Data jobs in Rochester, NY? The most popular types of Data jobs in Rochester, NY are:
What job categories do people searching Data Manager jobs in Rochester, NY look for? The top searched job categories for Data Manager jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Manager jobs? Cities near Rochester, NY with the most Data Manager job openings:
Infographic showing various Data Manager job openings in Rochester, NY as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% In-person job distribution, with an average salary of $95,875 per year, or $46.1 per hour.
Applied AI Health Data Architect-Senior Manager

Applied AI Health Data Architect-Senior Manager

Pwc

Rochester, NY • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Health Services

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team, you will design and implement thorough data architecture strategies that enhance healthcare operations. As a Senior Manager, you will influence key stakeholders, making sure that innovative data solutions meet the evolving needs of health systems while developing productive teams committed to excellence.
Responsibilities
- Design and execute strategic data architecture strategies for healthcare
- Influence and engage key stakeholders to align on innovative data solutions
- Develop and mentor dynamic teams focused on operational excellence
- Analyze and address evolving needs within health systems through data insights
- Lead initiatives that enhance healthcare operations through impactful data management
- Foster an environment of collaboration and open communication among teams
- Uphold compliance with industry regulations and standards in data practices
- Drive strategic improvements in data architecture to support organizational goals
What You Must Have
- Bachelor's Degree
- At least 8 years of experience
What Sets You Apart
- Hands-on experience with EMR back-end databases preferred
- Familiarity with HL7 v2, FHIR R4, and interoperability standards
- Proven track record architecting data solutions for healthcare programs
- Navigating HIPAA compliance and PHI data handling requirements
- Bridging clinical, operational, and technical conversations
- Experience with healthcare-specific integration engines and middleware
- Applying Gen AI techniques to healthcare use cases
- Proficiency in Python or SQL for data transformation
- Understanding of how data architecture supports quality reporting

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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