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Doctor of Medicine | Psychiatry - General/Other

Location: Indianapolis, IN

Employer:

Pay: Competitive weekly pay (inquire for details)

Start Date: ASAP

LocumJobsOnline is working with to find a qualified Psychiatry MD in Indianapolis, Indiana, 46201!

This Job at a Glance

• Job Reference Id:  ORD-210224-MD-IN
• Title:  MD
• Dates Needed:  April 3rd - July 3rd
• Shift Type:  Day Shift
• Assignment Type:  Inpatient
• Call Required:  No
• Board Certification Required:  No
• Job Duration:  Locums

This inpatient psychiatric hospital specializes in advanced diagnosis and stabilization of complex mental health cases. The facility provides comprehensive psychiatric services with dedicated resources for intensive treatment of patients requiring specialized inpatient care. The hospital maintains modern documentation systems and interdisciplinary treatment teams to ensure effective delivery of psychiatric services in a structured inpatient environment.

Indianapolis features notable attractions including the Indianapolis Motor Speedway Museum and the Children's Museum, along with various specialty museums and walking tour opportunities. The region offers diverse entertainment venues such as the Ruoff Music Center, Everwise Amphitheatre, Clowes Memorial Hall, and Old National Centre, providing options for arts, live music, sports, and shopping experiences. Downtown presents dining and beverage establishments alongside cultural and recreational activities suitable for various interests.

The psychiatrist will direct psychiatric services in accordance with institutional policies, utilizing advanced clinical training and professional judgment to guide diagnostic evaluations, treatment plans, and patient care decisions. This position serves as the final authority on psychiatric evaluations while overseeing program planning and reviewing clinical recommendations. The clinician will work part-time for 24 hours per week during day shifts, conducting weekly rounds on a 24-bed inpatient unit and managing complex mental health cases requiring advanced diagnosis and stabilization. Responsibilities include contributing to departmental strategy and agency-wide policy through research and program evaluation while maintaining comprehensive documentation of patient progress and treatment interventions.

• Case Load/PPD:  24 beds / rounding 1x a week
• Support Staff:  Nursing staff, medical assistants, and administrative support
• Patient Population:  Adults
• Location Type:  On-Site
• Government:  No
• Shift Hours:  Part time (24 hours)
• Cases Treated:  Complex mental health cases requiring advanced diagnosis and stabilization
• Average Length of Stay:  Variable based on patient complexity and treatment needs
• Census:  24 beds / rounding 1x a week
• Med Checks/Follow-up per day:  Variable b
  
  Contact:

About

The need has never been greater to connect great clinicians and great healthcare facilities. That’s what we do. Every day. We’re . We connect clients and clinicians to take care of patients. How do we do it? By doing it better than everyone else. Whether you’re looking for a locum tenens job or locum tenens coverage, our experienced agents have the specialized knowledge, know-how, and personal relationships to take care of you and your search.  

provides comprehensive onboarding and optional 1099 financial consulting from a partner advisor.

We cover your malpractice insurance (A++) and provide assistance with credentialing, privileging, licensing, housing and travel.

Our agents have the specialized knowledge and personal connections to provide the best locum tenens experience and negotiate top pay on your behalf.

1714077EXPPLAT

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

• Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
• Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
• Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
• Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
• Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
• Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
• Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

• Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
• Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
• Review and approve reporting change requests, data model modifications, and access requests.
• Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
• Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

• Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
• Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
• Build and govern the centralized semantic model that powers reporting across the company.
• Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
• Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

• Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
• Communicate complex architectural concepts in clear, business-friendly terms.
• Lead cross-functional initiatives that require unified data structures or scalable reporting.
• Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

• Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
• Track record of establishing and enforcing enterprise reporting standards and governance.
• Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
• Able to operate as both an individual contributor and a strategic leader.
• Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
• Comfortable influencing architectural decisions and guiding technical execution.
• Strong command of foundational tools and languages such as:
• DAX
• Power Query / M
• SQL
• Fabric pipelines / ETL tooling
• Experience with automation and AI-assisted analytics workflows.

IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.

You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.

This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.

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• Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.

  
  

• Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.

  
  

• Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.

  
  

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• Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.

  
  

• Architect integrated solutions that include:

  
  

• Migration from legacy data platforms to modern cloud-based architectures

  
  

• Data engineering and Information governance

  
  

• Business intelligence and advanced analytics

  
  

• GenAI-powered and agentic AI-driven automation and decisioning

  
  

• Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.

  
  

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• Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.

  
  

• Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.

  
  

• Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.

  
  

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• Recruit, mentor, and grow top-tier consultants, architects, and data specialists.

  
  

• Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.

  
  

• Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.

  
  

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• Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.

  
  

• Represent IBM at industry conferences, client events, webinars, and executive roundtables.

  
  

• Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.

  
  

This position can be preformed anywhere in the US.

"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."

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• 12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.

  
  

• Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.

  
  

• Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:

  
  

• AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)

  
  

• Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)

  
  

• Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)

  
  

• Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.

  
  

• Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.

  
  

• Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.

  
  

• Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.

  
  

• Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.

  
  

• Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.

  
  

• Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.

  
  

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.

Security Advisory: Beware of Frauds

Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.

We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.

Responsibilities

• Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
• Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
• Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
• API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
• Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
• Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.

What You Will NOT Do (The Boundaries)

• No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
• No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
• No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.

Intersection with Technical Teams

• With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
• With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.

Experience, Skills, & Ability Requirements

• 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
• SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
• API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
• Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
• You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
• You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.

Bonus Points (Nice-to-Haves)

• Familiarity with Visio/Lucidchart to visualize data flows.
• Ability to build simple dashboards in Tableau to track data health scores.
• Basic familiarity with Python or R for data manipulation.

What We Offer

• Health, dental, and vision benefits
• Paid parental leave
• 401(k) with employer match
• A culture of meritocracy that fosters ongoing growth opportunities
• A stable, growing family-owned company that looks after its employees

Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.

As a Data Steward Senior Analyst, you are part of a team responsible for enabling and supporting compliance with data-related enterprise policies within their domains/business units. You and your team are responsible for identifying critical data and associated risks, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Issues are remediated. You have the opportunity to partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

In addition, this role will play a key part in effectively communicating new and updated data-related policies to the teams responsible for compliance. The individual must be skilled in preparing clear, engaging presentations that translate formal policy language into practical, easy-to-understand guidance and “tell the story” behind the policy requirements. The role will also support the delivery of training sessions, facilitate policy office hours, and serve as a go-to resource for questions related to data governance and retention compliance.

Your Primary Responsibilities may include:

• Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention (primary), Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others.

• Develop training materials and educate organization on Record Retention and Deletion processes and procedures.

• Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business.

• Collaborate with and influence product managers to ensure all new use cases are managed according to policies.

• Influence and contribute to strategic improvements to data assessment processes and analytical tools.

• Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams.

• Subject matter expertise on multiple platforms.

• Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap.

Qualifications include:

• 5 + years of experience in a similar role involved with ensuring compliance with Record Retention and Deletion policies.

• Strong communication skills and ability to influence and engage at multiple levels and cross functionally.

• Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.

• 5+ years of Data Quality Management experience.

• Strong familiarity with data architecture and/or data modeling concepts

• 5+ years of experience with Agile or SAFe project methodologies

• Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Computer Science or other similar fields.

• Preferred: Experience in Travel Industry.

• Preferred: Knowledge of RCSA (Risk Control Self-Assessment) methodology

Leadership Skills may include:

• Makes Decisions Quickly and Effectively: Drives effective outcome through decision making authority. Displays judgement and discretion in order to ensure deliverables are sufficient to the American Express policy and overall compliance.

• Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions.

• Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team.

• Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

Materials Data Specialist

Radiant is seeking a Materials Data Specialist to support the development of our internal materials database. This role focuses on researching, validating, and organizing material property data used by engineering teams across reactor design, thermal systems, and structural analysis.

The ideal candidate has a technical background in materials science, materials engineering, or a related engineering discipline and enjoys working at the intersection of engineering research, data quality, and structured documentation.

You will evaluate the quality of material property sources, organize data into defined schemas, and contribute to documentation that helps engineers confidently use materials data in design and analysis.

Responsibilities

Research Materials Data

• Search scientific literature, databases, and reports to identify relevant material property data.
• Evaluate the quality, reliability, and applicability of material property sources.
• Flag inconsistencies or uncertainty in data sources.

Structure Engineering Data

• Enter material property data into internal databases following defined schemas and standards.
• Maintain consistent formatting and traceability of data sources.
• Ensure data integrity and reproducibility for engineering use.

Document Materials Information

• Write concise descriptions of materials and their properties in supporting reports.
• Summarize relevant test conditions, limitations, and assumptions for engineering teams.
• Maintain clear documentation of data sources and methodologies.

Interested in helping build the next phase of hyperscale data center expansion?

BlueSky Resource Solutions is partnering with a leading infrastructure services provider who is seeking a Regional Director of Data Center Infrastructure to oversee delivery operations within a major hyperscale market.

This role will lead ISP deployments within data center environments while building operational processes, developing field teams, and ensuring high levels of client satisfaction.

The ideal candidate is a hands-on operational leader with experience managing complex infrastructure projects, supporting business growth, and maintaining strong safety, quality, and financial performance standards.

Your project direction:

• Provide leadership for structured cabling and inside plant (ISP) infrastructure projects within large-scale data center environments.
• Oversee project lifecycle activities including planning, staffing, scheduling, quality control, and final project turnover.
• Build and lead field teams including supervisors, technicians, and project support staff.
• Develop and implement operational standards, documentation practices, testing procedures, and installation guidelines aligned with industry standards.
• Maintain strong relationships with enterprise and hyperscale data center customers, ensuring service-level commitments and project milestones are met.
• Collaborate with construction partners, electrical contractors, and facility operations teams to coordinate infrastructure deployment.
• Monitor project financials including labor forecasting, materials planning, change management, and cost control.
• Identify opportunities to improve operational efficiency through standardized processes, prefabrication, and digital reporting tools.

The best fit:

• 8+ years of experience in data center infrastructure, structured cabling, or network deployment environments.
• Experience managing field teams and overseeing multiple projects.
• Demonstrated experience managing project budgets, scheduling, and operational performance metrics.
• Strong client-facing communication and leadership capabilities.
• Industry certifications are considered a plus.
• Ability to meet site access requirements including background screening and safety compliance.

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• Data management
  
• May do some vendor management
  
• Some data presentation
  
• Some process improvement
  
• Data mining to assist operations around lab equipment maintenance
  
• Some vendor management
  

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• As a Client Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.
  
• This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.
  

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• Coordinate data aggregation and curate reports using existing business intelligence and reporting applications.
  
• Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
  
• Assist with developing data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights.
  
• Define basic data requirements and gather information using judgment and statistical tests.
  
• Use programming and evaluation tools, including open-source programs to plan models and extract insights.
  
• Apply modeling and optimization methods to improve business performance.
  
• Develop ad-hoc reporting based on the review of existing data sources.
  
• Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.
  
• Confirm the quality and integrity of existing data sources.
  
• Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
  
• Have some knowledge of standard principles with limited practical experience in applying them.
  
• Lead by example and model behaviors that are consistent with Client RISE values.
  
• Impact the quality of own work.
  
• Work within standardized procedures and practices to achieve objectives and meet deadlines.
  
• Exchange straightforward information, ask questions, and check for understanding.
  

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• Bachelor's Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. MCSE and CNE Certification preferred.
  
• Ability to use existing procedures to solve standard problems.
  
• Experience with analyzing information and standard practices to make judgments.
  
• In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
  
• Organizational skills with a strong inquisitive mindset.
  

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• Extreme attention to detail
  
• Great with time management and has a sense of urgency to complete tasks
  
• Excellent communication skills
  
• Will need to be able to "tell the story of the data"
  

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• Experience with pharmaceutical equipment management is a huge plus
  
• Vantage experience
  

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• 4-7 years
  

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• Excel
  
• Microsoft Office suit
  
• Vantage
  
• Smart sheets
  

Job Overview:

Armas Pharmaceuticals is seeking a highly analytical and detail-oriented Business Data Analyst to join our growing team. This entry-level position is ideal for a recent graduate who is passionate about data analysis, business intelligence, and process improvement.

The analyst will play a key role in supporting the Finance and Operations teams by analyzing business data, preparing reporting for senior leadership, and helping improve internal data systems. The role requires strong Excel proficiency, analytical thinking, and the ability to translate raw data into actionable insights.

This position offers a unique opportunity to work cross-functionally while contributing to strategic decision-making and operational efficiency.

Key Responsibilities:

Data Analysis & Reporting

• Analyze business and sales data to identify trends, patterns, and performance insights.

• Prepare structured data sets and reports for senior management and leadership review.

• Support ongoing business reporting initiatives through data analysis and visualization.

Financial & Operational Support

• Assist the finance team with data preparation, analysis, and reporting processes.

• Support financial modeling and reporting through structured data organization.

• Ensure accuracy and consistency of financial and operational datasets.

Data Systems & Automation

• Assist in developing and improving automated reporting processes using Excel and         related tools.

• Contribute to the expansion and maintenance of the company’s internal data warehouse.

• Identify opportunities to streamline workflows through automation and improved data    structures.

Partner & Business Intelligence Support

• Prepare partner data and operational metrics to support leadership reporting.

• Work with cross-functional teams to compile and analyze key business metrics.

• Help develop scalable data processes that improve business visibility.

Innovation & Technology

• Explore opportunities to leverage AI tools and integrations to enhance business   intelligence, automation, and reporting capabilities.

• Assist in identifying technologies that improve data accessibility and decision-making.

Qualifications:

Education

• Bachelor’s degree required in one of the following or related fields:

·       Finance

·       Economics

·       Business Analytics

·       Data Science

·       Mathematics

·       Information Systems

·       Business Administration

Required Skills

• Advanced Microsoft Excel skills (pivot tables, advanced formulas, data analysis tools).

• Strong analytical and critical thinking ability.

• Ability to organize and interpret large datasets.

• Excellent attention to detail and data accuracy.

• Strong written and verbal communication skills.

• Ability to work independently while collaborating across departments.

Preferred Skills (Bonus)

• Experience with data visualization tools (Power BI, Tableau, etc.)

• Exposure to SQL or database systems

• Familiarity with data warehouse concepts

• Experience integrating or applying AI tools to business processes

Compensation & Benefits:

• Salary: $50,000 – $60,000 annually

• Performance-based bonus opportunity

• Full-time employee benefits including:

• Health insurance (after eligibility period)

• 401(k) retirement plan (after eligibility period)

• Paid Time Off (PTO)

• Participation in company incentive programs

About Armas Pharmaceuticals, Inc.

Armas Pharmaceuticals is a generic pharmaceutical company delivering an ever-growing portfolio of high-quality products that provide convenience, affordability, and consistency. Through the development of strong partnerships and industry relationships, Armas maintains this pipeline of products with customer and patient satisfaction in mind. Headquartered in Freehold, New Jersey, Armas Pharmaceuticals is always open to new partnership opportunities and ways to offer our customers the best products at affordable prices. For more information, please visit  .