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We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.
As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.
This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.
This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.
Key Responsibilities:
AI Application Development
Build and maintain AI-powered features including:
- Open-to-Buy optimization and inventory planning models
- Sales forecasting and demand prediction solutions
- Intelligent OMS features for routing, allocation, and automation
- Marketing AI tools such as product copy generation and AI-assisted image generation
Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.
RAG, GraphRAG, + Vector DB Engineering
- Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
- Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
- Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
- Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.
AI Agents & Orchestration
- Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
- Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
- Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.
AI Infrastructure & System Architecture
- Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
- Assist in deploying scalable inference pipelines, batching, and caching layers.
- Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).
Data Engineering, Pipelines & Model Training
- Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
- Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
- Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
- Strong foundations in Python, data structures, and machine learning concepts.
- Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
- Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
- Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
- Exposure to SQL/NoSQL databases.
- Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
- Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
- Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
- Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.
Preferred Qualifications:
- Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
- Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
- Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
- Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.
What you'll Gain:
- Hands-on impact in designing enterprise AI capabilities from the ground up.
- Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
- A chance to shape AI products used across supply chain, marketing, and e-commerce.
Company Overview:
Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.
Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.
Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.
Space Control Coordinator
Yang Ming (America) Corp., a subsidiary of Yang Ming Marine Transport Corporation, is a leading global shipping and logistics company. With a strong presence in the international shipping industry, we are committed to providing reliable, efficient, and sustainable transportation solutions. Our team is dedicated to delivering exceptional customer service and fostering strong business relationships to support global trade.
The Space Control Coordinator is responsible for managing vessel space allocation and ensuring optimal utilization of capacity across assigned service lanes. This role requires close coordination with Trade, Operations, Logistics, and Equipment teams to support accurate planning and maintain high utilization. Prior Ocean Carrier Space Control experience a plus.
Job description:
- Verify and maintain vessel schedule and space related information in the space control platform.
- Optimize all available allocations by strategically planning the vessels in close coordination with Trade, Operations, Logistics, and any other department involved, to maximize the space/weight allocations with full and empty containers.
- Monitor booking activities and cargo materialization to ensure proper planning of the ship; proactively provide clear summary of the review to Trade Management and make suggestions to postpone or adjust bookings in advance.
- Forecast loading figures (cargo and empty equipment) in close cooperation with Trade and Logistics departments, to provide best possible projections for each voyage.
- Coordinate empty container planning with the Equipment Department to optimize full & empty container loading to achieve 100% TEU allocation utilization.
- Calculate and report loading forecast for all US port based on customer & trade knowledge, statistical analysis, and cargo readiness information.
- Support Commercial group and related departments by responding to queries related to space approvals and questions about routing solutions, transit times, and vessel schedules.
- Assist with special projects assigned by management.
Qualification and Requirements:
- Bachelor’s degree in supply chain management or related major
- Basic proficiency in Microsoft Outlook.
- Advanced skills including formatting, pivot tables, formulas, and VLOOKUP functions.
- Strong ability to manage multiple tasks efficiently.
- Excellent analytical and problem-solving abilities.
- Ability to meet strict vessel planning deadlines.
- Strong written and verbal communication skills.
Benefits:
We offer a comprehensive pay and benefits package.
- Medical / dental / vision plan
- 401K with a generous company match
- Company paid Life Insurance
- Company paid short term disability Insurance
- Company paid long term disability Insurance
- Paid vacation and sick leave
- Floating holiday
- Paid holidays
This is not a remote position and will require an on-campus presence.
Duties & Responsibilities Plan, execute, and manage the integration and support of new and existing applications into Mid-State’s ERP and AD environments.
Troubleshoot and provide technical guidance for integrated software application issues, ensuring high availability and performance of connected applications.
Integrate systems technologies.
Improve application performance to include evaluating existing applications for effectiveness and making recommendations for improvement as appropriate.
Document integration designs, configurations, and operational procedures for future reference and knowledge transfer.
Support security subsystems.
Collaborate with business users and business analysts to translate business requirements into technical integration specifications.
Develop and maintain APIs and connectors to facilitate seamless data exchange and process automation across enterprise systems.
Other duties as assigned.
Qualifications Bachelor’s degree in Programming or related field required.
Minimum of three years of experience with API Design and Management (REST, GraphQL, OData, Lingk, OpenAPI/Swagger).
Minimum of five years of experience within the Microsoft Development Environment C#, MSSQL, ASPNET.CORE; on the Microsoft stack; and with SQL (complex queries, stored procedures, table design).
Knowledge of multiple integration disciplines, web services, REST, OData, file based with FTP.
Experience with system integration architecture and design; project management; Visual Basic.NET, Web and Server-Side programming; Windows and Exchange PowerShell.
Must possess excellent problem resolution, organizational, interpersonal, communication, and project management skills.
Must possess ability to: Achieve a satisfactory level of technical, functional, and/or professional skill or knowledge in position- related areas; keep up with current developments and trends in areas of expertise; leverage expert knowledge to accomplish results.
Leverage one’s practical knowledge and understanding of recent technology tools, solutions, and trends to improve work results, solve work problems, and take advantage of new business opportunities.
Place a high priority on the (internal or external) customer’s perspective when making decisions and taking action; implement service practices that meet the customers’ and own organization’s needs.
Identify and understand problems and opportunities by gathering, analyzing, and interpreting quantitative and qualitative information; choose the best course of action by establishing clear decision criteria, generate and evaluate alternatives, and make timely decisions; take action that is consistent with available facts and constraints and optimizes probable consequences.
Maintain effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjust effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful.
Take prompt action to accomplish work goals; take action to achieve results beyond what is required; be proactive.
Set high standards of performance for self and others; assume responsibility and accountability for successfully completing assignments or tasks; self-impose standards of excellence rather than having standards imposed.
Demonstrate a positive attitude and approach toward work.
Must embrace Mid-State’s core values of student centeredness, commitment, accountability, respect, integrity, and exceptional service.
Compensation & Benefits Compensation is dependent upon experience and qualifications.
Benefits include health, dental, and vision insurance; life insurance; short-term and long-term disability; paid time off and holidays; flexible spending account; Wisconsin Retirement System; 403(b) and 457; employee assistance program; educational assistance; and employee wellness program.
How To Apply To be considered for this position, you must complete an online application.
You should have the following information available when completing an application: Contact information (addresses, phone numbers) Employment History Education Electronic copy of resume and transcripts Application materials submitted via mail, fax, email, or in-person will not be considered.
Incomplete applications or applications noting 'See Resume' will not be considered.
Continuous recruitment with first review of completed applications starting March 3, 2026.
Applications received on or after March 3rd may be considered in a secondary pool.
Please note that Mid-State’s main form of communication during the recruitment process is email.
In addition to receiving communications from email addresses with an @ domain, you may receive emails from .
Please be sure to watch your inbox as well as junk, spam, and clutter folders.
Equal Opportunity Mid-State Technical College, an equal opportunity employer and educator, does not discriminate on the basis of race, color, national origin, gender, disability, sexual orientation, or other applicable legislated categories, in its services, employment programs, and/or its educational programs and activities, including but not limited to admission, treatment, and access.
Mid-State Technical College provides reasonable accommodations to assist persons with disabilities to access or participate in its programs and activities.
The following person has been designated to handle inquiries regarding the nondiscrimination policies: VP-Human Resources, 32nd Street N, Wisconsin Rapids, WI 54494, Phone: 715-422-5325 or Email: .
Optimize Your Online Application Experience Below you will find a few technical tips to help ensure a positive and successful online application experience: Be sure to fill in each field in the application.
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To ensure submission, complete the application process within that time frame.
The following browsers are currently supported: Internet Explorer 9, 10, 11 Firefox Google Chrome Safari The following operating systems are currently supported: Windows 7 and 8, both 32-bit and 64-bit, as well as Mac OS 10.6 and greater.
If you experience issues in submitting your online application, please contact Human Resources at 715.422.5568 .
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
Provide direction to the team on a daily basis
Collaborate with leadership to monitor and communicate key performance indicators and to understand the reasons behind the performance.
Actively analyze trends to find business opportunities and risks in order to optimize business outcomes.
Collaborate with the Enterprise Analytics team to ensure the business analytics team's processes and practices align with Enterprise standards and the Enterprise Analytics Strategy.
Guide the appropriate use of analytical concepts and statistical techniques: creation of hypotheses, test/experiment design, data analysis, summarization of findings, and delivery of actionable recommendations for business units
Provide end users with accurate, actionable and insightful information
Identify opportunities to generate and collect new data to improve insights
Leverage experience in data querying to ensure integrity and quality of the team's work
Guide the creation of effective data visualizations to tell a story - expose patterns, trends, opportunities and risks
Champion effective data governance within the business unit to improve data integrity, quality and understanding
Drive transformational change and analytics aptitude among leaders and users within the business unit to empower a more informed and effective business
Apply knowledge of data modeling techniques to enable self-service analytics and to balance the scope of the models against response times
Engage in planning to meet daily, quarterly, operational goals; plan and execute department level projects
Determine and develop best practices in relation to business procedures
Assure effective communications are maintained within and beyond the team; where appropriate involve senior level management and employees in plans, and advise on progress towards meeting goals
Job Specifications
Typically has the following skills or abilities:
Bachelor's degree in related field or equivalent experience
Minimum of 3 years of management experience with responsibilities for hiring, training, assigning work and managing performance of direct reports
Excellent leadership and visionary abilities
Ensures the appropriate use of descriptive statistical techniques to solve business problems
Approaches business challenges with creativity and an understanding of data to design analytical approaches that answer core business questions.
Preferably able to understand the use of predictive modeling and machine learning and to identify business problems where those can be applied
Regularly exercises discretion and independent judgment in the performance of his/her job duties
Working Conditions
The working environment is generally favorable lighting and temperature is adequate, and there are no hazardous or unpleasant conditions caused by noise, dust etc.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job grade.
#LI-VISIONCARE
Compensation range for the role is listed below. Applicable salary ranges may differ across markets.Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here.
Salary Ranges: $73,500.00 - $131,250.00VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.
Notice to Candidates: Fraud Alert - Fake Job Opportunity Solicitations Used to Collect Fees/Personal Information.
We have been made aware that fake job opportunities are being offered by individuals posing as VSP Vision and affiliate recruiters.Click hereto learn about our application process and what to watch for regarding false job opportunities.
As a regular part of doing business,VSPVision ("VSP")collects many different types ofpersonal information, including protected health information, about ouraudiences, includingmembers, doctors,clients, brokers, business partners,andemployees. VSP Vision employees will have access to this sensitive personal information and are subject to follow Information Security and Privacy Policies.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Team & Mission
The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.
Role Summary
We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.
What you'll do:
- Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
- Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
- Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
- Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
- Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
- Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
- Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
What we're looking for:
- BS+ in Computer Science (or related field) or equivalent practical experience.
- 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
- Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
- Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
- Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
- Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
- Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-KK6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
Better together:We check our egos at the door. We work together, so we win together.
We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.
Duties & Responsibilities:
- Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
- Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
- Optimize data structures and queries for performance, reliability, and cost efficiency.
- Drivedata quality and governance initiatives, including metadata management and validation frameworks.
- Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
- Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
- Ensure adherence tosecurity, compliance, and data privacystandards.
- Mentor junior engineers and contribute to establishingengineering best practices.
- SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
- Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
- Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.
Technical Skills:
- Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
- Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
- Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
- Strong understanding ofdata modeling,data governance, andmetadata management.
- Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
- Familiarity withPower BIvisualization tool.
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
- Experience buildingreal-time data pipelinesand streaming frameworks.
- Strong analytical and problem-solving skills.
- Proven ability tolead projectsand mentor engineers.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Exposure tomachine learning integrationwithin data engineering pipelines.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
We are seeking a Senior HRIS Analyst to support and optimize Human Resource Information Systems with a strong focus on Workday and payroll functionality. This role will act as a subject matter expert for HRIS systems, ensuring data integrity, system security, regulatory compliance, and seamless integrations while supporting reporting, audits, upgrades, and ongoing process improvements.
- Pay: $37-$65 hourly
- Job Type: Full-time, Contract
- Shift: 1st
Please send your resume to Noreen Singleton at if you are interested!
Perks & Benefits
- Weekly paychecks
- Direct Deposit or Cash Card pay options
- Medical / Dental Insurance
- $37.00 / Hr - $65.00 / Hr
Employment Type & Shifts
- Full Time
- Temporary or Contract
- 1st Shift
Job Responsibilities
- Serve as the regional subject matter expert for Workday HRIS, ensuring configurations meet global and regional requirements
- Maintain, optimize, troubleshoot, and support Workday HRIS and payroll systems
- Support payroll configurations, general ledger updates, and system changes driven by state and federal mandates
- Design, run, and validate complex HR and payroll reports and queries
- Monitor, test, and implement integrations, file feeds, and interfaces with third-party vendors
- Execute audits and ensure data integrity, system security, and separation of duties
- Collaborate with HR and business stakeholders to translate business requirements into technical solutions
- Support system upgrades, testing, year-end processing, and special HRIS projects
- Develop and deliver training to HRIS users and provide ongoing end-user support
- Work with external vendors to ensure accurate and timely data exchange
- Bachelor's degree (B.S.) or equivalent required
- 2-5 years of progressive HRIS experience with a focus on data integrity, auditing, reporting, and system enhancements
- Strong knowledge of Workday Payroll (required)
- Advanced Excel skills (pivot tables, XLOOKUP/VLOOKUP, formulas)
- Strong analytical, organizational, and project management skills
- Proven ability to manage multiple priorities and meet deadlines
- Strong communication skills and ability to collaborate across teams
- Close attention to detail and the ability to maintain confidentiality
Associate Requirements
- Bachelors
- Background Check
- Drug Test
- Must be at least 18 years old
The hourly rate for this position is anticipated between $37.00 - $65.00 per hour. This range is a good-faith estimate, based on the shift you work and other considerations permitted by law. An employee's pay history will not be a contributing factor where prohibited by local law. In addition to monetary compensation, we offer medical, dental, vision, life, and more. More details about benefits can be found at home.
Staff Management | SMX is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, sexual orientation, age, gender identification, protected veteran status, or any other characteristic protected by law. We consider qualified applicants with arrest and conviction records in accordance with applicable law. Accommodations are available on request for candidates taking part in the selection process. If you require disability-related accommodation during the recruitment process, please contact your Recruiter or Employee Relations at or 1-8 . TrueBlue, Inc. and its brands will consult with all applicants who request disability-related accommodation during the recruitment process to ensure that the accommodation provided takes into account the applicant's individual accessibility needs.
Job Summary:
Working as part of a category-focused team, the Merchandise Planner is responsible for the availability of products for our customers, by managing the timely flow of inventory through our supply chain and supporting the Planning Manager in the delivery of the overall merchandise plan. Working in close partnership with the Buying team, the Merchandise Planner will develop strategies to effectively drive sales and profitability by proactively identifying key issues and areas of opportunity, developing creative solutions to solve problems and improve business outcomes.
The Merchandise Planner will prepare accurate forecasts and plans, including optimization recommendations for inventory and assortment. The Merchandise Planner will lead a team of 1-2 Replenishment Planners / Analysts, providing their direct reports with training and coaching opportunities, as well as direction on day-to-day tasks. Key measures of success include sales, receipts, markdown & margin vs budget, inventory vs budget, warehouse in stock %, OTIF, in store Availability.
Job Responsibilities
- Work closely with the Planning Manager and Buying team to ensure close management of available OTB and a good understanding of the category strategy, including new initiatives or areas of growth opportunity.
- Accountability for category in store availability targets, ensuring that appropriate reporting is in place to understand availability opportunities at various levels of granularity.
- Work closely with Planning Manager and Buying team to ensure that OTB / Availability risks are clearly understood and communicated with appropriate category and functional leaders – where possible recommending action to mitigate or improve.
- Work closely with the Buying teams and their own direct reports to identify and recommend areas of improvement to support increases in sales or stock turn, ex. Optimization of store assortments or range rationalization.
- Fully manage basic/core items in terms of projecting, ordering and store replenishment such as order calculation, submission, confirmation, order maintenance, PO allocation, etc.
- Work closely with vendors, stores and internal customers to resolve order and invoice discrepancies, compliance issues, RTVs and cycle count recommendations.
- Fully utilize analytical tools including Smartlook and Aptos Analytics to prepare standard and ad hoc reports for self and the team.
- Effectively allocate merchandise and balance inventory levels by store by merchandise category, identifying any issues to the flow of inventory and finding solutions or seeking support to resolve.
- Build and maintain all Allocation & Replenishment (A&R) forecast models, seasonality curves, lead times, dynamic min/max, and vendor review schedules to effectively manage vendor on order, backstock inventory, and daily store replenishment.
- Build new store inventory and assortment plans in partnership with Merchandise Planners and Buyers.
- Carry out post launch analysis of new store openings or new initiatives to ensure appropriate replenishment metrics are in place, taking remedial action if required.
- Effectively plan and manage entrance/exit strategies of seasonal products, including sell through reporting and risk reporting.
- Develop good working relationships with vendors and internal field leadership teams, ensuring any communication is timely, focused and supportive.
- Visit stores regularly to gain a full understanding of our customers and their needs and to gain firsthand perspective of the results of the planning and allocation process.
- To demonstrate every day the values of WHSmith North America
Job Requirements
- Bachelor’s degree with coursework in math or statistics preferred
- 2+ years of work experience in a retail corporate office or stores preferred
- 2+ years of experience in a retail planning or allocation role would be preferred
- Experience with merchandising, analytics, planning, and/or allocation systems preferred
- Robust problem-solving, analytical, and data management skills.
- Good knowledge of MS Office packages (Word, Excel, PowerPoint) with a high proficiency in Excel (pivot tables, lookups, and advanced formulas, power query a plus)
- Satisfactory Criminal Background Check and Drug Testing May be required depending upon location
Job Summary:
Working as part of a category-focused team, the Merchandise Planner is responsible for the availability of products for our customers, by managing the timely flow of inventory through our supply chain and supporting the Planning Manager in the delivery of the overall merchandise plan.
Working in close partnership with the Buying team, the Merchandise Planner will develop strategies to effectively drive sales and profitability by proactively identifying key issues and areas of opportunity, developing creative solutions to solve problems and improve business outcomes. The Merchandise Planner will prepare accurate forecasts and plans, including optimization recommendations for inventory and assortment. Key measures of success include sales, receipts, markdown & margin vs budget, inventory vs budget, warehouse in stock %, OTIF, in store Availability.
Job Responsibilities
• Work closely with the Planning Manager and Buying team to ensure close management of
available OTB and a good understanding of the category strategy, including new initiatives or
areas of growth opportunity.
• Accountability for category in store availability targets, ensuring that appropriate reporting is
in place to understand availability opportunities at various levels of granularity.
• Work closely with Planning Manager and Buying team to ensure that OTB / Availability risks
are clearly understood and communicated with appropriate category and functional leaders
– where possible recommending action to mitigate or improve.
• Work closely with the Buying teams and their own direct reports to identify and recommend
areas of improvement to support increases in sales or stock turn, ex. Optimization of store
assortments or range rationalization.
• Fully manage basic/core items in terms of projecting, ordering and store replenishment such
as order calculation, submission, confirmation, order maintenance, PO allocation, etc.
• Work closely with vendors, stores and internal customers to resolve order and invoice
discrepancies, compliance issues, RTVs and cycle count recommendations.
• Fully utilize analytical tools including Smartlook and Aptos Analytics to prepare standard and
ad hoc reports for self and the team.
• Effectively allocate merchandise and balance inventory levels by store by merchandise
category, identifying any issues to the flow of inventory and finding solutions or seeking
support to resolve.
• Build and maintain all Allocation & Replenishment (A&R) forecast models, seasonality curves,
lead times, dynamic min/max, and vendor review schedules to effectively manage vendor on
order, backstock inventory, and daily store replenishment.
• Build new store inventory and assortment plans in partnership with Merchandise Planners
and Buyers.
• Develop good working relationships with vendors and internal field leadership teams,
ensuring any communication is timely, focused and supportive.
• Visit stores regularly to gain a full understanding of our customers and their needs and to
gain firsthand perspective of the results of the planning and allocation process.
Job Requirements
• 2+ years of experience in a retail planning or allocation role would be preferred
• Experience with merchandising, analytics, planning, and/or allocation systems preferred
• Robust problem-solving, analytical, and data management skills.
• Demonstrates high standards and takes accountability; detail-oriented person who takes
pride in maintaining and delivering superior accuracy.
• Good knowledge of MS Office packages (Word, Excel, PowerPoint) with a high proficiency in
Excel (pivot tables, lookups, and advanced formulas, power query a plus)
