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Data Implementation Manager Jobs in Ohio (NOW HIRING)

Accurately enters all data, verifying totals to client's balance. * Provide client support via ... Detail-oriented with strong time management; able to manage multiple projects simultaneously

Test client data and Paycor system configuration to ensure proper functionality and quality ... Maintain accurate project status in Paycor project management software; provide real time updates ...

Test client data and Paycor system configuration to ensure proper functionality and quality ... Maintain accurate project status in Paycor project management software; provide real time updates ...

Accurately enters all data, verifying totals to client's balance. * Provide client support via ... Detail-oriented with strong time management; able to manage multiple projects simultaneously

Accurately enters all data, verifying totals to client's balance. * Provide client support via ... Detail-oriented with strong time management; able to manage multiple projects simultaneously

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

Manage third-party data integration and analysis, including shipping analytics and return-to-sender reconciliation processes. Program Performance Analytics : * Design and implement internal and ...

Sr. Data Analyst

Columbus, OH · On-site

$83K - $104K/yr

Manage third-party data integration and analysis, including shipping analytics and return-to-sender reconciliation processes. Program Performance Analytics : * Design and implement internal and ...

Sr. Data Analyst

Columbus, OH

$83K - $104K/yr

Manage third-party data integration and analysis, including shipping analytics and return-to-sender reconciliation processes. Program Performance Analytics : * Design and implement internal and ...

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Data Implementation Manager information

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 Ohio? For Data Implementation Manager jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Data Implementation Manager jobs? Cities in Ohio with the most Data Implementation Manager job openings:
Data Architect

$61.75 - $79.50/hr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago


Job description

CompanyFederal Reserve Bank of St. LouisThe St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi, and Arkansas with branches in Little Rock, Louisville and Memphis. The St. Louis Fed's most critical functions include promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S. Treasury's financial operations, and advancing economic education, community development and fair access to credit. The Bank strives to maintain an engaging and exciting work environment that is both inviting and collegial.

The Data Architect will lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworks to support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application/Enterprise Architect to ensure seamless integration between data platforms and application services.

Responsibilities

  • Define and evolve the target data architecture supporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Qualifications

  • 7+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired.
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.
  • US Citizenship required
  • Lesser experience might be considered for a lesser grade

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

Salary: $140-170k

In addition to competitive compensation, we offer a comprehensive benefits package that all brought together in a flexible work environment where you can truly find balance:

  • Generous paid time off
  • Tuition & Training assistance/reimbursement
  • 401(k) match & Annuity/Pension fund
  • Top-notch health care benefits
  • Child and family care leave
  • Professional development opportunities
  • And more...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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