Blue Nile

Lead forecasting, inventory planning, and business analytics initiatives while managing a team and driving digital transformation in a luxury retail environment. | Bachelor's degree with 5-8+ years in operations planning or supply chain analytics, leadership experience, advanced technical skills in BI and planning systems, and luxury goods industry experience preferred. | R2net - James Allen & Blue Nile is a jewelry company with a technology soul. R2Net Inc. is an innovative technology company that provides e-commerce and supply chain platforms to connect the entire span of the diamond industry's ecosystem, including manufacturers, retailers, and consumers. We are seeking a strategic and data-driven Senior Manager, Operations Planning & Analytics to lead forecasting, inventory planning, and business analytics initiatives. This high-impact role sits at the intersection of operations, finance, and merchandising - acting as a trusted advisor to senior leadership and orchestrating the evolution of our planning capabilities in an increasingly digital landscape. In this role, you will oversee executive-level planning deliverables, lead a high-performing analytics team, champion digital transformation initiatives, and drive the integration of AI/ML capabilities into our planning processes. Responsibilities: Strategic Planning & Forecasting Lead Demand and Inventory Fulfilment Planning within the S&OP process across departments, integrating data driven drivers and business insights into cohesive business strategies Develop rolling forecasts (weekly, monthly, quarterly) using advanced statistical methods and AI/ML models to achieve >85% forecast accuracy Design scenario planning frameworks for supply chain disruptions, incorporating risk assessments and mitigation strategies Partner cross-functionally with merchandising, finance, operations, manufacturing, and commercial teams to align business plans with revenue targets and margin goals Lead inventory optimization strategies balancing service levels with working capital efficiency across our global distribution network Manage seasonal collection planning and limited edition releases unique to luxury markets Advanced Analytics & Business Intelligence Translate complex data into executive-ready insights, delivering strategic recommendations to C-suite leadership Build and maintain real-time dashboards tracking KPIs across sales performance, inventory health, forecast accuracy, and operational metrics Implement predictive analytics for demand sensing, customer behavior modeling, and trend identification Lead competitive intelligence analysis and market trend monitoring to inform strategic planning Develop pricing and promotional effectiveness models in collaboration with commercial teams Champion data governance standards and ensure data quality across planning systems Digital Transformation & Technology Leadership Drive AI/ML integration into planning processes, serving as orchestrator of human-AI collaborative workflows Lead technology selection and implementation projects for planning systems (SAP IBP, Anaplan, o9, JDA/Blue Yonder) Partner with IT and Engineering teams to automate reporting and scale data infrastructure (Snowflake, Tableau, Power BI) Champion transition from manual Excel-based processes to integrated, cloud-based planning platforms Develop and monitor AI model performance, ensuring continuous improvement and value realization Build organizational capabilities in digital tools and advanced analytics methodologies Cross-Functional Leadership & Stakeholder Management Serve as primary planning liaison to executive leadership, presenting monthly business reviews and strategic recommendations Consolidate inputs from planning, merchandising, finance, and operations into unified strategic narratives Facilitate weekly S&OP meetings and monthly integrated business planning sessions Manage relationships with key technology vendors and external partners Drive change management initiatives supporting digital transformation and process optimization Team Development & Organizational Capability Building Lead and develop a team of 2-3 professionals including demand planners, supply planners, business analysts, and data scientists Set clear OKRs, drive execution of high-impact projects, and foster culture of continuous learning Develop team capabilities in AI/ML tools, statistical modeling, and advanced planning methodologies Support career development through mentoring, cross-training, and stretch assignments Build succession planning pipeline for critical planning roles Risk Management & Business Continuity Develop multi-scenario contingency plans for supply chain disruptions Lead crisis response planning and execution during disruptions Implement early warning systems for demand volatility and supply constraints Innovation & Continuous Improvement Identify opportunities to enhance forecast accuracy through emerging technologies Lead lean/six sigma initiatives improving planning cycle time by 20-30% Deploy strategic evolution of KPIs and performance management frameworks Champion best practice sharing across regional teams and business units Bachelor's degree in Business, Finance, Engineering, Supply Chain, Operations Research, or Analytics MBA or relevant Master's degree preferred APICS/ASCM certification (CPIM, CSCP) strongly preferred Additional certifications in data science, project management (PMP), or Lean Six Sigma valued 5-8+ years in operations planning, supply chain analytics, demand planning, or related functions 2-3 years in leadership roles with direct report management experience Proven experience in luxury goods, premium consumer brands, or high-end retail preferred Demonstrated success in S&OP process leadership and cross-functional program management Track record of digital transformation initiatives and technology implementations Technical Competencies Advanced Excel modeling including VBA, complex formulas, and large dataset manipulation Statistical software proficiency: R, Python, or SAS for predictive modeling preferred BI/Visualization tools: Tableau, Power BI, Looker, or similar platforms Planning systems: Experience with SAP IBP, Anaplan, o9, JDA/Blue Yonder, or similar Database skills: experience with SQL, Snowflake, BigQuery, or similar preferred AI/ML understanding: Familiarity with machine learning concepts and applications in planning ERP systems: SAP, Oracle, or similar enterprise systems Core Competencies Strategic thinking with ability to connect operational metrics to business outcomes Executive communication skills with experience presenting to C-suite stakeholders Change leadership driving transformation in complex, matrixed organizations Analytical problem-solving using data-driven approaches to complex challenges Cross-cultural competency for global team collaboration Comfort with ambiguity and ability to navigate shifting priorities Customer-centric mindset understanding luxury consumer expectations At R2Net - James Allen & Blue Nile, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location: Hybrid Work Environment Paid Time Off Medical, Dental, Vision and Prescription Insurance 401(k) Retirement Plan with Company Match Flexible Spending Account | Health Savings Account Tuition Reimbursement Employee Discount Parental Leave Life Insurance Why Join Us? Impact: Shape the future of operations for an iconic luxury brand at the intersection of heritage and innovation Growth: Clear career progression path to Director and VP-level roles with succession planning support Innovation: Lead cutting-edge AI/ML integration in a well-resourced environment Culture: Collaborate with world-class talent in a diverse, inclusive environment valuing creativity and excellence Location: Work in the heart of New York City with flexible hybrid arrangements Compensation: Competitive base salary ($) plus % bonus potential Annual base pay: $120,000 - $160,000. Final pay rate shall be determined and is based on experience and qualifications. At this time, R2Net will not sponsor a new applicant for employment authorization for this position. Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1

Design and implement analytic solutions, build dashboards and reports, train associates on analytics, ensure data accuracy, and provide actionable insights across multiple business domains. | Bachelor's degree, 3+ years analytical experience with quantitative analysis and dashboarding, expert-level SQL and Tableau skills, strong communication and relationship management, and ability to work independently. | R2Net is a diamond and jewelry company with a technology soul. As a subsidiary of Signet, R2Net manages both the Blue Nile and James Allen brands while providing innovative e-commerce and supply-chain platforms to the diamond industry as a whole – including manufacturers, retailers, and consumers. As a Senior Analyst within Business Intelligence, you will design and implement analytic solutions across R2Net, touching areas as diverse as Finance, Operations, Marketing, Ecommerce, and Customer Service. In conjunction with our robust data engineering team, you will leverage R2Net’s rich ecosystem of versatile data assets to drive value for the organization – be that through reporting, data scientific modeling, or thought leadership. Your work will focus on shortening the path between measurement and action, transforming raw data into user-friendly dashboards, business-ready datasets, and high-visibility KPIs. To achieve this, you will partner with stakeholders across a wide variety of functional groups, train associates on best-practice analytic methods, and build processes that make quantitative optimization a core part of every business decision at R2Net. You will solve problems within pricing, forecasting, supply-chain management, digital measurement, and assortment optimization – including, if desired, the opportunity to deploy data science and machine learning models. You will be equally at home solving business problems as you are at working with the data itself, and you will engage deeply with R2Net’s proprietary data sources to ensure their accuracy, completeness, and usability. Through your domain knowledge and technical expertise, you will translate data into insights, build out a suite of dashboarding solutions, and turn your quantitative recommendations into business decisions for all of R2Net. Responsibilities: • Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design • Analytics: Design and construct analytic decision-making pipelines, turning raw data into action-recommendations for users across the company • Teaching: Ensure that associates throughout R2Net are trained on the tools, systems, and dashboards that you build, and are empowered to deliver independent analytics of their own. • Implementation: Work to understand business problems, design quantitative solutions, and translate those solutions into rigorous requirements for our Data Engineering teams. • Data: Take ownership of the structure, availability, completeness, and accuracy of R2Net's data, ensuring that each component of our analytic processes can be trusted and relied upon. • Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders. • Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field • 3+ years in analytical roles, with a focus on quantitative analysis and dashboard • Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others. • Exposure to multiple analytic domain spaces (e.g., revenue management, assortment, forecasting, digital optimization, segmentation, etc). • Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives. • The ability to take initiative, act independently, and function under ambiguity. • A penchant for innovation. Helpful, but not required: • Experience with Snowflake and associated tools • Familiarity with data engineering pipelines and systems (dbt, airflow, etc) • Hands-on data-scientific modeling experience in R or Python • Knowledge of best-practices in data-governance and data-security • Exposure to database administration principles and schema design • Competency in Agile-based approaches and frameworks At R2Net, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location: • Paid time off • Medical, Dental, Vision and Prescription Insurance • 401(k) Retirement Plan with company match • Flexible spending account • Health savings account • Tuition Reimbursement • Employee discount • Parental leave • Life insurance Annual base pay: $90,000 - $120,000. Final pay rate shall be determined and is based on experience and qualifications. At this time, R2Net will not sponsor a new applicant for employment authorization for this position. Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1