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Data Implementation Manager Jobs in Rochester, NY

AI Data Architect

Rochester, NY ยท Remote

$65.25 - $84/hr

Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake ... Catalog management, and optimized Parquet output * Design star/snowflake schemas, materialized ...

AI Data Architect

Rochester, NY ยท On-site +1

$150K - $200K/yr

Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake ... Catalog management, and optimized Parquet output * Design star/snowflake schemas, materialized ...

Data Entry Analyst

Rochester, NY ยท On-site

$16 - $20/hr

Ability to work and manage your time independently while reporting on status/progress to Project ... by implementing thoughtful, practical, and innovative strategies that support our employees and ...

Data Entry Analyst

Rochester, NY ยท On-site

$16 - $20/hr

Ability to work and manage your time independently while reporting on status/progress to Project ... by implementing thoughtful, practical, and innovative strategies that support our employees and ...

Ability to work and manage your time independently while reporting on status/progress to Project ... by implementing thoughtful, practical, and innovative strategies that support our employees and ...

... implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You ...

AI Engineer - Manufacturing Data

Rochester, NY ยท On-site

$113K - $135K/yr

Lead projects for implementing or improving QMS, analytics, and automation software from ... Project ownership - able to manage projects independently, set priorities, and deliver without ...

Maintain and update pricing operations, sales dashboards, and reporting to ensure data accuracy and ... implementation. * Manage version control and distribution of sales collateral across teams.

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Showing results 1-20

Data Implementation Manager information

See Rochester, NY salary details

$38.5K

$102.1K

$165.8K

How much do data implementation manager jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data implementation manager in Rochester, NY is $102,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $119,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Implementation Manager, you need strong project management abilities, expertise in data integration processes, and a background in information systems or a related field. Familiarity with ETL tools, data warehousing platforms, and certifications like PMP or Six Sigma are commonly required. Exceptional communication, problem-solving, and stakeholder management skills help you coordinate teams and manage client expectations. These competencies ensure data solutions are delivered accurately, efficiently, and aligned with business needs.

What are the most common challenges faced by Data Implementation Managers during client onboarding, and how can they be effectively addressed?

Data Implementation Managers often encounter challenges such as integrating disparate data sources, managing client expectations regarding project timelines, and ensuring data accuracy during migration. To address these, it is crucial to establish clear communication channels with clients, set realistic milestones, and conduct thorough data validation checks. Collaborating closely with technical teams and stakeholders helps proactively identify issues and ensure a smooth onboarding process.

What is a Data Implementation Manager?

A Data Implementation Manager is responsible for overseeing the deployment and integration of data solutions within an organization. They work closely with clients, technical teams, and stakeholders to ensure data systems are installed, configured, and operating according to business requirements. Their role includes managing project timelines, troubleshooting issues, and providing guidance on best practices for data migration and utilization. Data Implementation Managers play a key role in aligning technology solutions with organizational goals, ensuring data accuracy, and optimizing workflows.

What is the difference between Data Implementation Manager vs Data Analyst?

AspectData Implementation ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like PMP or data management certificationsBachelor's in Statistics, Data Science, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentProject-based, cross-departmental teams, focus on data system deploymentData-focused, analytical tasks, reporting, and visualization
Employer & Industry UsageUsed in tech, finance, healthcare for data system rolloutsCommon across industries for data analysis and reporting

The Data Implementation Manager primarily oversees the deployment and integration of data systems within organizations, focusing on project management and technical coordination. In contrast, a Data Analyst concentrates on analyzing data to generate insights, reports, and visualizations. While both roles require data-related skills, the Implementation Manager emphasizes system deployment, whereas the Analyst emphasizes data interpretation and reporting.

What are popular job titles related to Data Implementation Manager jobs in Rochester, NY? For Data Implementation Manager jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Implementation Manager jobs in Rochester, NY look for? The top searched job categories for Data Implementation Manager jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Implementation Manager jobs? Cities near Rochester, NY with the most Data Implementation Manager job openings:
AI Data Architect

AI Data Architect

Innovative Solutions

Rochester, NY โ€ข Remote

$65.25 - $84/hr

Full-time

Posted 21 days ago


Job description

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS โ€” from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full data stack across a variety of industries and projects: one engagement you're designing a Redshift data warehouse with medallion architecture processing 31M transactions/month, the next you're building a Bedrock Knowledge Base with OpenSearch vector search. Real ownership, real variety.


What You'll Do:

  • Design and build S3 data lakes with multi-zone organization, partitioning strategies, lifecycle policies, and encryption
  • Implement medallion architecture (bronze/silver/gold) for data warehouses on Redshift, Snowflake, or Databricks
  • Build AWS Glue ETL pipelines (Python Shell and Spark) with incremental extraction, Data Catalog management, and optimized Parquet output
  • Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI consumption (QuickSight, PowerBI)
  • Configure data warehouse platforms โ€” Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe, Databricks with Delta Lake and Auto Loader
  • Design RAG systems using Bedrock Knowledge Base with OpenSearch Serverless vector search and Titan Embeddings
  • Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction
  • Design SageMaker ML pipelines for training, Model Registry, and inference
  • Lead data discovery sessions with client stakeholders and present architecture recommendations to technical and business audiences
  • Mentor delivery team members on data architecture patterns and AWS data services
  • Contribute to R&D projects evaluating emerging AWS data and AI capabilities
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Required Skills:

  • 5+ years professional IT experience, 2+ years professional AWS experience
  • At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred)
  • Python for data pipelines (Glue jobs, Lambda, SageMaker scripts) and PySpark for Glue Spark jobs
  • SQL and NoSQL on AWS โ€” Aurora PostgreSQL, RDS PostgreSQL, DocumentDB, DynamoDB โ€” including schema design and query optimization
  • Data modeling โ€” conceptual, logical, and physical models for AWS data platforms; normalized silver-layer schemas, denormalized star/snowflake gold-layer schemas, data dictionaries
  • Dimensional modeling and medallion architecture (bronze/silver/gold) on Redshift, Snowflake, or Databricks, including materialized views and incremental refresh patterns
  • AWS Glue ETL (Python Shell and Spark), Glue Data Catalog, and crawlers
  • S3 data lake architecture with partitioning, lifecycle policies, and encryptions
ย 

Preferred:

  • RAG systems with Bedrock Knowledge Base and OpenSearch Serverless vector search
  • Amazon SageMaker for ML training, Model Registry, and inference
  • AWS HealthLake, FHIR R4 transformation, and HIPAA-compliant data pipelines
  • Document AI with Amazon Textract and Comprehend
  • Amazon Athena, QuickSight, or PowerBI integration
  • Terraform or CloudFormation for data infrastructure as code
  • Step Functions, EventBridge, and Lambda for event-driven pipeline orchestration

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidateโ€™s professional experience, key skills, and education/training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.