Qureos Mentor

G-III Apparel Group

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 Title: Senior Manager, Talent Acquisition
 
 
 
 
 Department
 
 : Human Resources
 
 
 
 Brand/Product Focus
 
 : All Brands
 
 
 
 Reporting To
 
 : Vice President of Talent Acquisition
 
 
 
 Location (On-Site)
 
 : New York City, Midtown Manhattan &ndash; Fashion District
 
 
 
 
 
 
 About G-III Apparel Group | www.g-iii.com
 
 
 
 G-III Apparel Group is a global leader in fashion design, sourcing, manufacturing, distribution, and marketing. With a diverse portfolio of owned and licensed brands, G-III brings trend-driven product to market with speed, scale, and operational excellence. Our success is driven by an entrepreneurial culture and strong industry partnerships worldwide.
 
 
 
 
 
 
 Profile:
 
 
 
 The Senior Manager, Talent Acquisitionfor G-III is responsible for developing recruiting strategies that support current and future business needs; leading and executing all aspects of talent acquisition and ensuring correct, consistent work quality across all searches, using strong collaborating and influencing skills. This position contributes to the creation of a culture that enables the continued acquisition of high performing talent across the organization.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Effectively leads, develops and implements the strategies necessary to source, select and acquire top talent. Assures the ongoing implementation of best practice talent recruitment processes, resulting in a continual acquisition of exceptional talent. Creates a roadmap to develop and provide an ongoing talent pipeline in each area of expertise, supporting ongoing business needs.
 </li>
 <li>
 Leads anywhere from 10-25 searches at any given time in a fast-paced, ever-changing, results-driven environment, makes decisions quickly, creates new and innovative solutions when needed. Drives for results and improves time to fill.
 </li>
 <li>
 Collaborates cross functionally with Human Resources and hiring managers across businesses to deliver exceptional recruiting services in support of the overall objective to recruit top talent, creating a culture of accountability with a focus on delivering measurable results.
 </li>
 <li>
 Works closely with business leaders and hiring managers to deliver talent that meets business needs ensuring delivery of the right talent.
 </li>
 <li>
 Creates and shares best practices within the Talent Acquisition team, as well as broadly within the organization, to ensure that recruiting is highly effective and valued.
 </li>
 <li>
 Implements recruiting strategies to promote diversity in the workplace and attract diverse candidates.
 </li>
 <li>
 Ensures a professional and positive candidate experience by maintaining ongoing communication and securing feedback both during the recruitment process and thereafter.
 </li>
 <li>
 Maintains a thorough database/pipeline of talent across all relevant categories to reduce cycle time when new positions open. Upgrades the level of talent recruited, presented, and hired.
 </li>
 <li>
 Identifies and organizes recruitment events to build our employer brand presence.
 </li>
 </ul>
 
 
 
 
 
 Skills
 
 :
 
 
 
 
 <ul>
 <li>
 
 Apparel Industry Experience REQUIRED
 
 </li>
 <li>
 Must be a strategic thinker, a creative problem solver with the ability to deliver outstanding work across an expansive and diverse environment
 </li>
 <li>
 Extraordinary attention to detail and understanding of business needs
 </li>
 <li>
 Strong work ethic, and relentless commitment to quality and efficiency; high personal values and standards
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Must be a good listener with ability to influence others
 </li>
 <li>
 Must have a strong desire to continually bring exceptional talent to the organization
 </li>
 <li>
 Ability to multi-task and drive for results in a fast-paced and ambitious work environment
 </li>
 <li>
 Flexibility to adjust quickly to changes, deliver on tight deadlines
 </li>
 <li>
 A positive, can-do attitude
 </li>
 <li>
 Strong work ethic
 </li>
 <li>
 Proficient in latest applicant tracking systems
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 :
 
 <ul>
 <li>
 7+ years in full-cycle talent acquisition roles, across multiple categories, at all levels; fashion industry experience preferred
 </li>
 <li>
 Proven ability to identify and recruit talent in a competitive market
 </li>
 <li>
 Expert in end-to-end recruiting process
 </li>
 <li>
 Experience working with business leaders in a results-driven culture
 </li>
 <li>
 Experience working in a corporate environment
 </li>
 </ul>
 
 
 
 
 
 Education
 
 :
 
 
 Bachelor&rsquo;s degree or equivalent experience
 
 
 
 
 
 
 The pay range for this position is:
 
 $100,000-$130,000 per year.
 
 
 
 
 
 
 Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
 
 
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Senior Manager, Talent Acquisition

<div>
 
 
 Data Engineer
 
 
 
 G-III Apparel Group
 
 
 
 
 
 
 Department:
 
 Data &amp; Analytics
 
 
 
 Reporting To:
 
 VP Data Insights
 
 
 
 Location (On-Site):
 
 New York, NY - Fashion District
 
 
 
 
 
 
 About G-III Apparel Group, Ltd. | www.g-iii.com
 
 
 
 G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships.
 
 
 
 
 
 
 Position Summary
 
 
 
 The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company&rsquo;s broader data and analytics strategy.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems
 </li>
 <li>
 Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making
 </li>
 <li>
 Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy
 </li>
 <li>
 Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis
 </li>
 <li>
 Work with engineering teams to implement automated anomaly detection and data monitoring solutions
 </li>
 <li>
 Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards
 </li>
 <li>
 Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services
 </li>
 <li>
 Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts
 </li>
 <li>
 Contribute to the development of data governance standards, data documentation, and metadata management practices
 </li>
 <li>
 Support continuous improvement of the data platform through automation, testing, and performance optimization
 </li>
 <li>
 Ensure timely and reliable data delivery to support operational and strategic business needs
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience
 </li>
 <li>
 3+ years of experience in data engineering or a similar data infrastructure role
 </li>
 <li>
 Strong proficiency in SQL and experience working with large relational datasets
 </li>
 <li>
 Programming experience in Python (including data processing libraries such as PySpark)
 </li>
 <li>
 Experience designing and implementing ETL/ELT pipelines and data integration workflows
 </li>
 <li>
 Experience with modern cloud platforms such as AWS, Azure, or GCP
 </li>
 <li>
 Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling
 </li>
 <li>
 Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar)
 </li>
 <li>
 Understanding of data modeling, data governance, and data quality best practices
 </li>
 <li>
 Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Experience building scalable pipelines using Spark or distributed processing frameworks
 </li>
 <li>
 Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks
 </li>
 <li>
 Exposure to streaming or real-time data architectures
 </li>
 <li>
 Experience implementing data quality frameworks and governance programs
 </li>
 <li>
 Familiarity with business intelligence tools such as Power BI
 </li>
 <li>
 Prior experience in retail, fashion, or consumer products industries
 </li>
 <li>
 Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity
 </li>
 <li>
 Master&rsquo;s degree in a related quantitative or technical field
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive base salary and performance-based incentives
 </li>
 <li>
 Comprehensive medical, dental, and vision benefits
 </li>
 <li>
 401(k) with company match
 </li>
 <li>
 Paid time off, holidays, and company-sponsored wellness benefits
 </li>
 <li>
 Employee discounts across G-III brands
 </li>
 <li>
 A collaborative, entrepreneurial work environment with career growth opportunities
 </li>
 </ul>
 
 
 
 
 
 Compensation
 
 
 
 
 Salary Range: $120,000 &ndash; $135,000 base (commensurate with experience)
 
 
 
 
 Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.
 
 
 
 
 
 
 
 G-III&rsquo;s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi&rsquo;s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.
 
 
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Data Engineer

Join G-III Apparel Group and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

G-III Apparel Group

About Company

Senior Manager, Talent Acquisition

Data Engineer