Technical Data Examples Jobs in Usa
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Technical Specialist 4
✦ New
Salary not disclosed
Position Title: Technical Specialist 4 (TS4) – Data Engineering
Location: 30 E. Broad St. Columbus, OH 43215
Mode: Remote (Report 1st day to office)
Interview: Virtual
Clearance Requirements: None
Position Status: Contract (12 Months)
Position Description
We are seeking an experienced Technical Specialist 4 (TS4) to design and implement data engineering solutions that advance the agency's data ecosystem. This senior-level role requires a strong background in data integration, data modeling, and enterprise data architecture. You will lead the evaluation and selection of data platforms, assist with data storage solutions, and shape scalable, secure, and well-governed data solutions for the agency's analytics and operational systems.
As a key technical contributor, you will collaborate with IT Architecture teams and senior leadership to ensure data solutions align with business needs, enterprise standards, and long-term goals. Your leadership and technical expertise will directly impact the evolution of data systems, from integration to ongoing optimization and maintenance.
Key Responsibilities
- Design & Maintain Data Models: Create and support conceptual, logical, and physical data models for enterprise analytics and operational systems.
- Data Governance & Standards: Establish data modeling standards, naming conventions, and design patterns to ensure consistency across all data platforms.
- Enterprise Data Architecture: Contribute to the development and evolution of the agency's enterprise data architecture roadmap, aligning with long-term goals and standards.
- Data Integration & Solutions: Evaluate and implement scalable data integration solutions, ensuring interoperability and alignment with enterprise integration strategies.
- Technical Leadership: Lead technical discussions related to data system design, implementation, optimization, and maintenance, guiding the Data Management team on best practices.
- Collaboration: Work closely with internal teams and enterprise partners to configure integrations between agency systems and external data platforms such as data lakes and data quality platforms.
Required Skills/Education
- Experience: Minimum 5 years of hands-on experience in data integration, data cleansing, data modeling, and data classification.
- Skills:
- Proficient in designing and maintaining data models supporting enterprise-level analytics and operational systems.
- Expertise in data integration and ensuring data governance across various data platforms.
- Strong technical leadership and the ability to guide teams through complex technical decisions.
- Experience with enterprise data architecture, data lakes, and integration with third-party platforms.
- Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
- Certifications: Relevant certifications in data architecture, enterprise architecture, or similar fields are a plus.
Not Specified
E
Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
$250 +
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
- Technical Skills Applications Integration
- Cloud Computing and Cloud Computing Architecture
- Data Architecture Design and Modelling
- Data Integration and Data Quality
- AI/Agentic AI driven data operations
- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
- Strong relationship management and business development skills.
- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Establish data governance policies and practices, including data security, quality, and lifecycle management.
- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
- A Bachelor’s degree required in STEM
- 12+ years professional consulting experience in industry or in technology consulting.
- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
- 5+ years’ experience with native cloud products and services such as Azure or GCP.
- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
- Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
- Experience leading Infrastructure and Security engineers and architects in overall platform build.
- Excellent leadership, communication, and project management skills.
- Data Security and Database Management
- Enterprise Data Management and Metadata Management
- Ontology Design and Systems Design
Ideally, you’ll also have
- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
- Experience working at big 4 or a major utility.
- Experience with cloud data platforms like Databricks.
- Experience in leading and influencing teams, with a focus on mentorship and professional development.
- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
- Building and Managing Relationships
- Client Trust and Value and Commercial Astuteness
- Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .
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Not Specified
Data Architect - Consumer Platform
✦ New 🏢 Skechers
Salary not disclosed
The pay range for this role is $150,000 - $200,000/yr USD.
WHO WE ARE:
Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.
ABOUT THE ROLE:
Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.
The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).
You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.
WHAT YOU’LL DO:
- Responsible for the full technical life cycle of consumer platform capabilities which includes:
- Capability roadmap and technical architecture in alignment to consumer experience
- Technical planning, design, and execution
- Operations, analytics/reporting, and adoption
- Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
- Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
- Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
- Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
- Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
- Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
- Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
- Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
- Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.
REQUIREMENTS:
- Computer Science, Data Engineering, or related degree or equivalent experience.
- 12+ years experience architecting enterprise data platforms in cloud environments.
- 9+ years experience with data engineering with a focus on consumer data.
- 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
- Strong experience with Data 360 and identity resolution architectures.
- Proven expertise in SQL performance tuning and large-scale data modeling.
- Hands-on experience implementing ML pipelines and recommender systems in production environments.
- Experience with cloud technologies (AWS, GCP, or Azure).
- Experience with integration patterns (API, ETL, event streaming).
- Experience providing technical leadership and guidance across multiple projects and development teams.
- Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
- Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
- Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
- Experience with Databricks or similar distributed data/ML platforms preferred.
Not Specified
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Data Product Engineer
Salary not disclosed
Job Title: Marketplace Data Product Engineer
Duration: 6+ months
Location: 100% Remote
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.
Key Responsibilities
Required Skills & Qualifications
Preferred Qualifications
Duration: 6+ months
Location: 100% Remote
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.
Key Responsibilities
- Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
- Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
- Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
- Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
- Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
- Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
- Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
- Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
- Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
- Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
Required Skills & Qualifications
- 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
- Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
- Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
- Excellent communication and presentation skills, with experience translating technical concepts for business partners.
- Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
- Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
- Strong collaboration and stakeholder management skills across engineering, product, and business teams.
- Comfortable working in fast?moving environments and driving clarity through ambiguity.
Preferred Qualifications
- Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
- Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
- Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
- Background in solution architecture, customer engineering, or sales engineering.
- Experience developing demo environments, sample apps, or repeatable platform enablement assets.
- Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
Not Specified
Manager, Enterprise Data Services, Data Analytics Enablement Manager
Salary not disclosed
Job Description Summary: This position is available within the University of Maryland’s Division of Information Technology (DIT).
The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.
This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.
This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.
Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.
The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.
Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.
Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.
Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.
Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.
Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.
Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.
Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.
Support adoption of metadata management, data catalog, and lineage capabilities.
Ensure analytics solutions align with university standards for security, privacy, and responsible data use.
Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.
Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.
Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.
Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to lead presentations and training for large groups.
Ability to manage communications and relationships with technical and business stakeholders.
Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.
Ability to ensure documentation standards and procedures are implemented for all team responsibilities.
Ability to define deadlines and manage the quality of the work delivered.
Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.
Physical Demands: Sedentary work.
Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Repetitive motion.
Substantial movements (motions) of the wrists, hands, and/or fingers.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.
Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.
One (1) year leading or supervising professional staff.
Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.
Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.
Experience managing or mentoring data professionals in a collaborative team environment.
Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.
Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.
Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.
Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.
Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.
Strong communication skills with the ability to engage both technical and non-technical audiences.
Experience using Jira or similar tools for work intake, project tracking, and prioritization.
Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.
Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
F1 STEM OPT support is not available for this position.
Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .
Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .
Background Checks: Offers of employment are contingent on completion of a background check.
Information reported by the background check will not automatically disqualify anyone from employment.
Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.
The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.
Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.
All qualified applicants will receive equal consideration for employment.
Please read the University’s Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice See above description for requirements
The University of Maryland (UMD) seeks a Manager of Data Analytics Enablement to lead the adoption and modernization of enterprise analytics capabilities that enable trusted, data-informed decision-making across campus.
This is an exciting time to join UMD as we advance enterprise data and analytics through a period of innovative growth and modernization.
This role will play a key part in shaping the future of enterprise business intelligence, advancing Microsoft Power BI and Fabric capabilities, and embedding sustainable data quality and stewardship practices into analytics workflows.
Reporting to the Director of Enterprise Data Services, this position partners with institutional leaders, IT teams, and enterprise stakeholders to deliver reliable data products, consistent metrics, and actionable insights.
The manager will lead a team of data professionals and advance practical, operational governance practices that support trusted analytics and long-term institutional impact.
Key Responsibilities: Lead the strategy, development, and continuous improvement of the university’s enterprise business intelligence environment, including Microsoft Power BI and Microsoft Fabric.
Establish standards, best practices, and architectural patterns for semantic models, dashboards, and analytics delivery.
Guide migration and modernization efforts to ensure scalable, secure, and high-performing analytics solutions.
Develop and manage an analytics intake, prioritization, and delivery framework aligned with institutional priorities.
Define and implement data quality monitoring practices to ensure reliability, accuracy, and consistency of enterprise data assets.
Partner with technical teams to embed validation, monitoring, and observability into data pipelines and lakehouse environments.
Promote consistent metric definitions and collaborate with campus stakeholders to clarify data ownership and stewardship roles.
Support adoption of metadata management, data catalog, and lineage capabilities.
Ensure analytics solutions align with university standards for security, privacy, and responsible data use.
Manage, mentor, and develop a team of analytics and data professionals, fostering a culture of quality, collaboration, and service.
Communicate analytics priorities, progress, and impact to leadership and campus partners.
**This position is considered essential and may be required to work at the normal work location or an alternative location during a major catastrophic event, weather emergency, or other operational emergency to help maintain the continuity of University services.
** **May be required to work evenings, nights, weekends, or different shifts for extended periods.
** KNOWLEDGE, SKILLS, & ABILITIES: Knowledge of data privacy and security principles and practices necessary to protect systems and data from threats.
Knowledge in areas of subject matter expertise such as databases, data modeling, ETL, reporting, data governance practices, metadata management, data stewardship, and/or regulatory compliance.
Skill in SQL or programming/scripting languages (e.g.; Python) used for integrations, data pipelines, report development, and data management.
Skill in adapting communication style to different audiences, including technical, business, and executive stakeholders.
Skill in the use of office productivity software such as Office 365 or Google Workspaces.
Ability to lead presentations and training for large groups.
Ability to manage communications and relationships with technical and business stakeholders.
Ability to collaborate effectively with other Managers, Assistant Directors, and Directors to identify and solve problems, make improvements, and address ongoing issues.
Ability to provide a team with effective direction and support in implementations using standards and techniques that lead to a repeatable and reliable solution.
Ability to ensure documentation standards and procedures are implemented for all team responsibilities.
Ability to define deadlines and manage the quality of the work delivered.
Ability to comprehend and handle interpersonal dynamics, demonstrate empathy towards team members, and effectively manage conflicts or challenging circumstances.
Ability to coach and mentor team members in order to enhance their performance, provide constructive feedback, and support skill development.
Physical Demands: Sedentary work.
Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Repetitive motion.
Substantial movements (motions) of the wrists, hands, and/or fingers.
The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
Minimum Qualifications Education: Bachelor’s degree from an accredited college or university.
Experience: Three (3) years of professional experience supporting the operations, maintenance, and administration of data systems, analytics platforms, or data management programs.
One (1) year leading or supervising professional staff.
Other: Additional work experience as defined above may be substituted on a year for year basis for up to four (4) years of the required education.
Preferences: Demonstrated experience leading business intelligence or enterprise analytics initiatives.
Experience managing or mentoring data professionals in a collaborative team environment.
Strong experience with Power BI and modern data platforms such as Microsoft Fabric, Databricks, or similar cloud-based analytics ecosystems.
Proficiency with SQL and/or Python in support of analytics, data modeling, or data quality initiatives.
Experience implementing or advancing data quality practices, including validation, monitoring, or metric standardization.
Experience supporting practical data governance activities such as establishing shared definitions, coordinating data stewardship, or implementing metadata/catalog tools.
Demonstrated ability to collaborate across diverse stakeholders and translate business needs into scalable analytics solutions.
Strong communication skills with the ability to engage both technical and non-technical audiences.
Experience using Jira or similar tools for work intake, project tracking, and prioritization.
Additional Information: Please note that all positions within the Division of Information Technology (DIT) have an in person component with expected time in our College Park, MD location per week.
Telework is not a guaranteed work arrangement.
Visa Sponsorship Information: DIT will not sponsor the successful candidate for work authorization in the United States now or in the future.
F1 STEM OPT support is not available for this position.
Required Application Materials: Resume, Cover Letter, List of three References Best Consideration Date: March 26, 2026 Open Until Filled: Yes Salary Range: $149,120.00
- $178,944.00 Please apply at: Job Risks: Not Applicable to This Position Financial Disclosure Required: No For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website .
Department: DIT-EE-Enterprise Data Services Worker Sub-Type: Staff Regular Benefits Summary: For more information on Regular Exempt benefits, select this link .
Background Checks: Offers of employment are contingent on completion of a background check.
Information reported by the background check will not automatically disqualify anyone from employment.
Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information.
The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility: The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization.
Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement : The University of Maryland, College Park is an Equal Opportunity Employer.
All qualified applicants will receive equal consideration for employment.
Please read the University’s Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice See above description for requirements
Not Specified
M
Sr. Quality Data Analyst
✦ New
$45.03 - 59.89
Join Us in Shaping the Future of Health Care
At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.
What's in it for you:
- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.
You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.
The Sr. Quality Data Analyst will be responsible for leading and overseeing operational workflows within the Health Care Quality Analytics team. The ideal candidate will be accountable for ensuring the team delivers routine and ad hoc analyses and data visualizations to support MVP's health care quality functional area. The ideal candidate will have experience working with NCQA and CMS quality measures and HEDIS data to support improved health care outcomes and member satisfaction. They will also participate in automation efforts that create efficiencies and help to create a data-driven organization. The Sr. Quality Data Analyst will work with cross-functional teams, including business, technical, and Data Governance teams, to ensure the availability, accuracy, and reliability of data.
In alignment with MVP's core values, the Sr. Quality Data Analyst will be expected to demonstrate strong interpersonal and communication skills, promoting cooperation across organizational boundaries and encouraging groups to work together cooperatively. They will have strong analytical thinking skills, and a focus on continuously improving processes and reducing technical debt. Additionally, they will be self-motivated, with a sense of accountability and urgency in completing assignments.
Key Responsibilities:
- Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
- Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
- Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
- Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
- Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
- Provide training and mentorship to team members to promote growth and development.
- Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
- Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
- Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.
Position Qualifications
Minimum Education
Bachelor's degree in a related field (e.g. Mathematics, Statistics, Computer Science, Epidemiology, or Healthcare) required; Master's degree preferred.
Minimum Experience
5+ years of experience in healthcare data analysis, with a strong focus on health care quality analytics and operations.
Experience leading teams and executing on operational workflows.
Required Skills
- Strong analytical skills, with the ability to turn data into actionable insights.
- Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
- Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
- Keen attention to detail.
- Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.
Pay Transparency
MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.
We do not request current or historical salary information from candidates.
$93,667.00-$124,576.75
MVP's Inclusion Statement
At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.
MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.
To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
permanent
N
Technical Product Manager (Data Analytics)
✦ New 🏢 Nexwave
Salary not disclosed
Role : Technical Product Manager ( Data Analytics )
Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)
Exp Req : 10+
Rate : $55/Hr on W2 Max
Skills Mandatory :
1, Marketing Data Analysis knowledge.
2, KPI and metrics definition on Marketing Data. Mainly for media product.
3, Instrumentation knowledge and through process.
Original JD:
- Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
- Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
- Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
- You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
- Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description :
- Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
- Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
- Closely partner with our Data Science team to define metrics, datasets, and automation strategy
- Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
- Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
- Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management
Key Qualifications :
- Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
- Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
- Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
- Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
- Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
- Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
Stephen
Lead Talent Acquisition Specialist
Email :
Not Specified
N
Technical Product Manager ( Data / Analytics )
✦ New 🏢 Nexwave
Salary not disclosed
Role : Technical Product Manager ( Data / Analytics )
Location - Austin, TX ( Onsite )
Exp Req : 10+
Skills Mandatory :
1, Marketing Data Analysis knowledge.
2, KPI and metrics definition on Marketing Data. Mainly for media product.
3, Instrumentation knowledge and through process.
Original JD:
- Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
- Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
- Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
- You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
- Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description :
- Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
- Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
- Closely partner with our Data Science team to define metrics, datasets, and automation strategy
- Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
- Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
- Education Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management
Key Qualifications :
- Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
- Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
- Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
- Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
- Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
- Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
Not Specified
Manager, Data Ctr Infrastructure - IT Infrastructure - Full Time (On-site, Sayre)
🏢 Guthrie
Salary not disclosed
This is an ON-SITE position located in Sayre, PA.
Summary:
The Manager of Data Center Infrastructure plans and manages the service delivery for quality and continuous improvement of data center infrastructure while adhering to and executing best practices to maintain optimal service levels. This position is responsible for daily operations for The Guthrie Clinic’s (TGC) data center infrastructure to enable delivery and high availability of standard, enterprise-wide related clinical, business and communication applications. The Manager supports the Director of Enterprise IT Infrastructure to achieve goals and priorities to define and implement policies, procedures and technical solutions that ensure interoperability, manage security risks, lower total cost of ownership and provide a platform for scalable future growth. The Manager will offer business rationale and perspective on technological problems and opportunities. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
Experience:
1. Preferred five to seven (5 to 7) years of experience in IT management and/or professional development in Information Technology management with experience supporting data center infrastructure; healthcare experience preferred.
2. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization.
3. Experience in compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
4. Experience with data center re-designs, consolidations and migrations.
5. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
6. Experience with cloud computing platforms, particularly in Microsoft Azure environments and hybrid cloud architecture.
7. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
8. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
9. A proven track record of motivating and managing diverse technical staff and resources in multiple projects through all life-cycle phases, while establishing direction and standards and maintaining a high level of user trust and confidence in the group’s knowledge of and concern for users’ business needs.
10. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
11. A strong business orientation with the ability to balance good judgment with bottom-line business orientation to systems technology that supports return-on-investment decisions.
12. A technically strong individual with a broad and deep knowledge of compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
13. Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
14. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
15. An innovative thinker who understands the practical application of technology and is able to plan for systems today that will carry the organization into the future.
16. Thoroughly understands hospital operations, anticipates needs, and pursues effective and efficient solutions. Able to translate information technology jargon into terms understandable by all audiences.
17. Experience managing service level agreements in either an insourced or outsourced professional services operation.
Education:
1. Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
Licenses
Essential Functions:
- Plans and manages the activities of the Data Center Infrastructure department. Works in collaboration with other TGC IT departments supporting information system infrastructures to assure continuous operation of all enterprise-wide business critical systems.
- Oversees the planning and deployment of standards and technology changes for data center infrastructure environments and operational IT programs (i.e., lifecycle management, service continuity, compliance).
- Participates in TGC initiatives providing leadership and guidance on technology infrastructure standards, implications, and investments.
- Perform a lead role in the development of a broad TGC data center strategy.
- Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
- Monitors industry trends, maintains knowledge of developments in compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
- Maintain current working knowledge of IT best practices and innovative solutions within both healthcare and industry. Identifies leading edge technologies for potential early adoption that will result in service differentiation and create competitive advantage. Collaborates with other TGC IT departments, TGC management and business leaders assisting in the evaluation and validation of emerging technologies. Identifies strategies to mitigate risk associated with leading edge technologies.
- Provides leadership to ensure appropriate technology use, standards and policies. Provides efficient, cost-effective technology services for compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
- Benchmark, analyze report on, and make recommendations for the improvement of the IT infrastructure and systems to achieve an optimal balance of cost and service.
- Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
- Participates in the development and implementation of TGC’s business/disaster recovery plan. Facilitate periodic business recovery tests to ensure that plans are current and effective. Participates in other TGC emergency preparation and testing as required.
- Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
- Manages relationships with hardware/software vendors and other suppliers of information systems related to products and services. Negotiates service level agreements with preferred vendors.
- Develops and monitors capital and operating budgets and three-year financial plan. Identifies opportunities to leverage economies across TGC.
- Develops and maintains policies and procedures and assures compliance with legal and regulative issues (JCAHO, HIPAA, and HITRUST).
- Balances resources to ensure that support services are effectively delivered, and projects are completed on time and within budget. Secures external resources as required.
- Recruits and develops staff to create a high-performing IT Enterprise Infrastructure organization capable of supporting current systems while leveraging next generation technologies.
- Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
- Exhibits a customer/supplier philosophy that emphasizes both internal and external relationships; identifies both customer and supplier needs/expectations and strives to exceed them. Consistently enforces the critical importance of supporting patient care.
- Demonstrates responsibility for ongoing personal development, professional growth, and continuing education.
- Recruits, orients, and manages staff required to meet strategic and operational objectives.
- Ensures that staff receive appropriate career development opportunities. Counsels and coaches staff to improve performance and foster personal growth. Conducts regular performance appraisals and recommends appropriate personnel actions.
- Creates a team oriented, professional work environment providing the requisite challenges to retain talented IT professionals.
- Willingness to travel between sites in the TGC Pennsylvania/New York regional footprint (Sayre, Towanda, Troy, Corning, Cortland, Binghamton, etc.)
- Performs related duties as assigned and unrelated duties as requested.
Summary:
The Manager of Data Center Infrastructure plans and manages the service delivery for quality and continuous improvement of data center infrastructure while adhering to and executing best practices to maintain optimal service levels. This position is responsible for daily operations for The Guthrie Clinic’s (TGC) data center infrastructure to enable delivery and high availability of standard, enterprise-wide related clinical, business and communication applications. The Manager supports the Director of Enterprise IT Infrastructure to achieve goals and priorities to define and implement policies, procedures and technical solutions that ensure interoperability, manage security risks, lower total cost of ownership and provide a platform for scalable future growth. The Manager will offer business rationale and perspective on technological problems and opportunities. This position will be a technology advocate throughout the organization for the effective application of technology to meet business needs and to support business changes and growth. Technology functions include compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
Experience:
1. Preferred five to seven (5 to 7) years of experience in IT management and/or professional development in Information Technology management with experience supporting data center infrastructure; healthcare experience preferred.
2. Highly experienced information systems professional with a strong technical background and proven track record of accomplishments in a large, complex multi-level organization.
3. Experience in compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
4. Experience with data center re-designs, consolidations and migrations.
5. Strong knowledge of healthcare information systems (e.g., Epic, Cerner), cybersecurity and clinical operations.
6. Experience with cloud computing platforms, particularly in Microsoft Azure environments and hybrid cloud architecture.
7. Prior experience delivering high availability systems in a 24/7 environment across geographically dispersed business units.
8. Demonstrated ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
9. A proven track record of motivating and managing diverse technical staff and resources in multiple projects through all life-cycle phases, while establishing direction and standards and maintaining a high level of user trust and confidence in the group’s knowledge of and concern for users’ business needs.
10. Demonstrated commitment to customer service who has provided responsive and effective support, developed solid working relationships with customers, and delivered high quality, value-added services that met/exceeded customer expectations.
11. A strong business orientation with the ability to balance good judgment with bottom-line business orientation to systems technology that supports return-on-investment decisions.
12. A technically strong individual with a broad and deep knowledge of compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
13. Equally adept at developing technology strategies and the operation of existing technical infrastructures. Significant experience and knowledge of computing architecture and implementation of networked computing structures.
14. Polished professional with demonstrated information technology experience and strong communication skills that can rapidly gain and maintain credibility with customers and IT colleagues.
15. An innovative thinker who understands the practical application of technology and is able to plan for systems today that will carry the organization into the future.
16. Thoroughly understands hospital operations, anticipates needs, and pursues effective and efficient solutions. Able to translate information technology jargon into terms understandable by all audiences.
17. Experience managing service level agreements in either an insourced or outsourced professional services operation.
Education:
1. Bachelor’s degree in Information Technology, Computer Science, Healthcare Administration or related field strongly desired or an equivalent combination of education and experience.
Licenses
Essential Functions:
- Plans and manages the activities of the Data Center Infrastructure department. Works in collaboration with other TGC IT departments supporting information system infrastructures to assure continuous operation of all enterprise-wide business critical systems.
- Oversees the planning and deployment of standards and technology changes for data center infrastructure environments and operational IT programs (i.e., lifecycle management, service continuity, compliance).
- Participates in TGC initiatives providing leadership and guidance on technology infrastructure standards, implications, and investments.
- Perform a lead role in the development of a broad TGC data center strategy.
- Anticipates and provides solutions for complex problems and issues, recommends upgrades and enhancements. Rapidly absorbs complex technical and conceptual information to identify issues and implications. Able to present understandable alternatives to both technical and non-technical individuals at all levels of the organization.
- Monitors industry trends, maintains knowledge of developments in compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
- Maintain current working knowledge of IT best practices and innovative solutions within both healthcare and industry. Identifies leading edge technologies for potential early adoption that will result in service differentiation and create competitive advantage. Collaborates with other TGC IT departments, TGC management and business leaders assisting in the evaluation and validation of emerging technologies. Identifies strategies to mitigate risk associated with leading edge technologies.
- Provides leadership to ensure appropriate technology use, standards and policies. Provides efficient, cost-effective technology services for compute, network, storage, data protection, and hyperconverged infrastructure, structured cabling, UPS/power distributions systems, computer room cooling systems, fire detection/suppression, monitoring and cloud computing.
- Benchmark, analyze report on, and make recommendations for the improvement of the IT infrastructure and systems to achieve an optimal balance of cost and service.
- Promotes the use of TGC’s PMO methodology and standards to manage IT initiatives.
- Participates in the development and implementation of TGC’s business/disaster recovery plan. Facilitate periodic business recovery tests to ensure that plans are current and effective. Participates in other TGC emergency preparation and testing as required.
- Demonstrates commitment to customer service by providing responsive and effective support, developing solid working relationships with customers and IT colleagues, and delivering high quality, value-added services that exceed customer expectations.
- Manages relationships with hardware/software vendors and other suppliers of information systems related to products and services. Negotiates service level agreements with preferred vendors.
- Develops and monitors capital and operating budgets and three-year financial plan. Identifies opportunities to leverage economies across TGC.
- Develops and maintains policies and procedures and assures compliance with legal and regulative issues (JCAHO, HIPAA, and HITRUST).
- Balances resources to ensure that support services are effectively delivered, and projects are completed on time and within budget. Secures external resources as required.
- Recruits and develops staff to create a high-performing IT Enterprise Infrastructure organization capable of supporting current systems while leveraging next generation technologies.
- Demonstrates a commitment to excellence in Customer Service with all internal and external customers of TGC.
- Exhibits a customer/supplier philosophy that emphasizes both internal and external relationships; identifies both customer and supplier needs/expectations and strives to exceed them. Consistently enforces the critical importance of supporting patient care.
- Demonstrates responsibility for ongoing personal development, professional growth, and continuing education.
- Recruits, orients, and manages staff required to meet strategic and operational objectives.
- Ensures that staff receive appropriate career development opportunities. Counsels and coaches staff to improve performance and foster personal growth. Conducts regular performance appraisals and recommends appropriate personnel actions.
- Creates a team oriented, professional work environment providing the requisite challenges to retain talented IT professionals.
- Willingness to travel between sites in the TGC Pennsylvania/New York regional footprint (Sayre, Towanda, Troy, Corning, Cortland, Binghamton, etc.)
- Performs related duties as assigned and unrelated duties as requested.
permanent
S
Junior data analyst/Machine learning engineer
✦ New
Salary not disclosed
CS/IT Graduates or About to be Grads.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
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