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Data Implementation Manager Jobs in Idaho (NOW HIRING)

Munich Re

Technical Architect - Data, Analytics & AI

Boise, ID · Hybrid

$60.75 - $78/hr

... management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives and implementations. * Identify technologyrelated business ...

Clearwater Analytics

Sr. Program Manager

Boise, ID · On-site

$110K - $110K/yr

... to successful implementation, coordinating resources across internal service teams, data ... The project manager will generate weekly status reports, hold regular project meetings with clients ...

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

... to manage everything that has to do with data. This role will help get large datasets into the ... Identify, design, and implement internal process improvements: automating manual processes ...

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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 Idaho? For Data Implementation Manager jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Data Implementation Manager jobs in Idaho look for? The top searched job categories for Data Implementation Manager jobs in Idaho are:
What cities in Idaho are hiring for Data Implementation Manager jobs? Cities in Idaho with the most Data Implementation Manager job openings:
Data Implementation Manager jobs near you

Nuclear Data Scientist

Idaho National Laboratory

Idaho Falls, ID • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

16th of 120 rated laboratories

Job description


At Idaho National Laboratory (INL), you will help advance the Genesis Mission-a strategic collaboration between INL and the U.S. Department of Energy to accelerate the application of artificial intelligence, advanced computing, and scientific innovation to solve the nation's most complex energy, national security, and critical infrastructure challenges. As part of a multidisciplinary research team, you will analyze complex data and develop innovative computational solutions across cloud, on-premises, and edge computing environments.
You will apply emerging technologies, including explainable artificial intelligence (XAI), large language models (LLMs), retrieval-augmented generation (RAG), and physics-informed machine learning to support cutting-edge research and mission objectives. This role includes developing advanced software solutions, visualization tools, and scalable analytics while collaborating with scientists, engineers, government agencies, academia, and industry partners to deliver impactful research outcomes. Successful candidates will contribute to technical publications, strengthen INL's leadership in AI-enabled scientific discovery, and support DOE's vision for the future of national laboratory research through the Genesis initiative.
Essential Job Functions and Responsibilities:
  • Contribute to the DOE-INL Genesis initiative by developing innovative AI, machine learning, and advanced computing capabilities that accelerate scientific discovery and enable transformational solutions for national energy, security, and critical infrastructure challenges.
  • Analyze complex data and generate actionable insights in response to data analytics, visualization, modeling, and simulation needs across cloud, on-premises, and edge-based computational environments.
  • Design, develop, and apply advanced technologies including Explainable Artificial Intelligence (XAI), Machine Learning (ML), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), physics-informed machine learning, systems performance analysis, and data sensor fusion methodologies.
  • Collaborate with multidisciplinary teams of scientists, engineers, software developers, and subject matter experts to solve complex research and engineering problems.
  • Partner with DOE sponsors, other national laboratories, government agencies, universities, and industry collaborators to advance research objectives and deliver mission-focused solutions.
  • Publish research findings in peer-reviewed journals, technical reports, and conference proceedings while contributing to INL's national leadership in AI-enabled research.
  • Support the development and execution of cross-cutting technical programs that address strategic priorities for multiple DOE and federal customers.
  • Develop, test, deploy, and maintain research software, data processing pipelines, notebooks, and applications supporting scientific computing and data analytics.
  • Design and implement custom software solutions, including 3D visualization tools, parallel computing applications, batch automation, web APIs, and scalable data services.
  • Collaborate with software engineers and database developers to develop, test, and deploy software across development, staging, and production environments using modern software engineering practices.
  • Evaluate data quality, identify and communicate data integrity issues, and develop repeatable data processing workflows that ensure accurate and reliable analyses.
  • Work closely with domain experts to understand scientific questions, identify critical data features, develop analytical methodologies, and design meaningful performance metrics that characterize complex system behavior.
  • Apply state-of-the-art data science, AI, modeling, and computational techniques to support INL's mission of ensuring the nation's safe, secure, resilient, and sustainable use of engineered systems.
  • Follow INL software engineering standards, cybersecurity requirements, configuration management practices, and policies governing sensitive information and research data.
  • Collaborate with data providers, database administrators, and software developers to rapidly diagnose and resolve data, infrastructure, and software issues.

Required:
  • Levels 2: Master's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Autonomy, or a closely related technical discipline with 0 years of relevant experience.
  • Level 3: Master's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Autonomy, or a closely related technical discipline and 2 or more years of relevant experience; or a Ph.D. in one of the above disciplines and 2 or more years of relevant experience.
  • Experience in data science, data analysis, and software development using Python, C#, Java, or C++.
  • Experience developing AI-enabled applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and Python/GitHub collaborative development environments.
  • Ability to obtain and maintain a DOE level "Q" security clearance, which requires US Citizenship.

The ideal candidate will possess:
  • Cloud computing platforms and cloud-native analytics (AWS, Microsoft Azure, Google Cloud Platform, or similar).
  • Scientific computing frameworks such as SciPy, NumPy, Jupyter Notebook, PyTorch, TensorFlow, CUDA, and related AI/ML libraries.
  • Natural language processing, graph databases, knowledge graphs, vector databases, and modern data management architectures.
  • High-performance computing (HPC), distributed computing, and parallel programming.
  • AI model evaluation, explain ability techniques, and physics-informed machine learning.
  • Research software development supporting scientific computing and advanced data analytics.
  • Developing solutions that support DOE mission areas, including energy systems, nuclear science, critical infrastructure, cybersecurity, or national security research.

Physical Requirements:
While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend, use hands to handle materials, manipulate tools, keyboard and type, reach with hands and arms, and operate job related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Job Information:
Idaho National Laboratory is hiring a Nuclear Research Data Scientist to work on our Computational Science team. Our team works a 9x80 schedule located out of our REC or our Salt Lake City facility with every other Friday off.
  • The pay range for this position is: Level 2 ($79,344 - $162,732) / Level 3 ($95,256 - $195,288). At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
  • Multi-Level: This is a multi-level posting and you will be placed at the appropriate level dependent on depth and breadth of proven experience and skills.
  • TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.

About Us
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.
INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.
INL Mission:
Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.
INL Vision:
Our vision is to change the world's energy future and secure our nation's critical infrastructure.
Selective Service Requirements:
To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.
Equal Employment Opportunity:
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Reasonable Accommodation:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information:
When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.
INL does not accept resumes from third party vendors unsolicited.

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About Idaho National Laboratory

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Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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