Signet Jewelers

Manager

• Leading a district store operations team to create and maintain the company's high standards
• Focus on merchandising, sales, and leading activities required to achieve the Region's goals
• Unit sales performance
• Personnel management
• Customer service
• Merchandise presentation
• Loss prevention
• Expense control
• Overall district administration P & L
• Acting as a role model and holding employees accountable for meeting company customer service standards
• Recruiting, interviewing, selecting and training employees based on manpower planning

District Manager

Ecommerce

• Manage all aspects of Actual Arrival Dates for online SKUs
• Monitor performance of predictive delivery dates
• Ensure accurate calculation of AADs
• Execute User Acceptance Testing (UAT) for AAD

E-commerce Estimated Delivery Date Administrator

• Execute product content enrichment within PIM
• Support new product setup and maintenance
• Perform pre- and post-production audits
• Manage assigned JIRA tickets and workflow updates

eCommerce Content Specialist

Customer Support

• Provide professional, courteous, and appreciative assistance on every phone call
• Offer exceptional, personalized solutions tailored to each customer’s needs
• Maintain accurate records of interactions and transactions
• Confidently multitask: document, research, and engage with customers in real time
• Demonstrate strong phone etiquette and represent Signet positively at all times
• Meet or exceed production, call-efficiency, schedule-adherence, and quality expectations
• Manage escalated concerns with empathy, patience, and professionalism

Bilingual Customer Experience Specialist

Director

• Lead the enterprise strategy for retail learning, onboarding, selling, and service enablement across Signet Jewelers’ portfolio of brands
• Build brand differentiated learning experiences that reflect the unique identity, customer, and service expectations of each brand while also building scalable and sustainable enterprise retail learning experiences
• Identify capability gaps, performance opportunities, and customer experience needs across the retail environment to develop practical, field ready learning solutions that strengthen team member and leader performance across brands
• Support the development and evolution of service and selling models that create consistently excellent yet differentiated customer experiences aligned to the unique identity and service expectations of each brand
• Oversee the design and implementation of learning experiences that strengthen selling capability, customer engagement, operational excellence, and the behaviors required to deliver exceptional customer experiences across the retail environment
• Partner closely with the Director of Learning & Development to support the customization and implementation of leadership development experiences that address the unique needs of retail leaders and brands
• Facilitate high impact onboarding, selling, service, and leadership experiences that model excellence in delivery, strengthen learner engagement, and drive measurable behavior change in the field
• Partner with brand leadership, field operations, HR, communications, and cross-functional teams to align learning initiatives with business priorities
• Collaborate with enterprise learning and organization effectiveness partners to ensure alignment between retail learning strategies and enterprise development frameworks
• Manage vendors, budgets, learning technologies, and resources to ensure efficient execution, scalability, and operational effectiveness
• Establish success metrics and measurement strategies to evaluate program impact, learner adoption, and business outcomes
• Continuously leverage feedback, field insights, and performance data to improve learning experiences and evolve enablement strategies over time
• Lead and develop a high-performing team of retail learning professionals, fostering collaboration, accountability, innovation, and continuous improvement
• Provide coaching, direction, and feedback to strengthen facilitation capability, consulting skills, instructional quality, and business partnership effectiveness across the team
• Foster a culture of curiosity, adaptability, inclusion, and customer centricity within the learning organization.

Director, Retail Education

Data Engineer

• Design and develop AI-enabled analytics solutions supporting enterprise reporting, forecasting, operational insights, and intelligent decision-making.
• Support enterprise AI initiatives including: Generative AI integrations, AI-assisted analytics, Natural language reporting, Predictive analytics, Recommendation and insight generation capabilities.
• Develop reusable analytics frameworks and scalable data products supporting enterprise reporting and AI use cases.
• Identify opportunities to leverage AI capabilities to improve reporting development efficiency and business insight generation.
• Design and implement AI-driven solutions that proactively identify data anomalies, schema changes, integration failures, reporting inconsistencies, and data quality issues across enterprise platforms.
• Develop intelligent monitoring and alerting frameworks that detect abnormal data patterns, missing data, volume fluctuations, and KPI deviations before impacting business operations.
• Create AI-enabled solutions that proactively analyze upstream system and schema changes to identify potential downstream reporting and integration impacts.
• Collaborate with governance and architecture teams to establish standards for responsible AI usage within analytics and reporting ecosystems.

AI Data Engineer

Architect

• Architect enterprise reporting and analytics solutions leveraging Microsoft Fabric, Power BI, and AWS Redshift
• Design scalable hybrid-cloud analytics architectures integrating Microsoft Fabric with AWS-based enterprise data platforms
• Define enterprise semantic layer strategies that provide consistent KPIs, metrics, hierarchies, and business definitions
• Establish standards and best practices for enterprise reporting, semantic modeling, governance, and performance optimization
• Lead enterprise BI modernization initiatives transitioning legacy reporting platforms to Power BI and Microsoft Fabric
• Design and optimize DirectQuery/Direct Connect reporting architectures against AWS Redshift
• Develop strategies for balancing: query performance, concurrency, scalability, cost optimization, and user experience
• Partner with data engineering teams to optimize Redshift schemas, sort keys, distribution styles, and materialized views to support Power BI workloads
• Define data access patterns between Fabric, Power BI, and Redshift while minimizing unnecessary data movement
• Implement hybrid architectures leveraging: DirectQuery, Import, Composite Models, and Direct Lake capabilities where appropriate
• Optimize gateway, networking, authentication, and refresh strategies across AWS and Microsoft ecosystems
• Architect enterprise semantic models supporting large-scale analytics and reporting workloads
• Design dimensional models, star schemas, and reusable reporting structures aligned with enterprise business processes
• Develop governed datasets, KPIs, calculations, and reusable business logic using DAX and Power BI semantic models
• Implement Row-Level Security (RLS) and Object-Level Security (OLS) with data governance controls
• Ensure semantic models support enterprise scalability, maintainability, and self-service reporting
• Lead implementation of Microsoft Fabric capabilities including Lakehouse, Warehouse, Dataflows Gen2, Semantic Models, and OneLake
• Design high-performing Power BI dashboards and enterprise reporting solutions
• Optimize dataset performance, DAX calculations, query folding, caching strategies, and report rendering performance
• Establish Dev/Test/Prod deployment pipelines and CI/CD processes for Power BI and Fabric assets.

Power BI, Microsoft Fabric Architect

Data Scientist

• Own and lead end-to-end execution of customer activation strategies, from requirements intake through deployment, QA, and post-launch validation.
• Design, build, and maintain end-to-end journey-based campaigns, including audience segmentation, triggers, decisioning, and orchestration.
• Translate marketing requirements into practical activation solutions within AEP and AJO
• Establish and enforce best practices for activation design, journey configuration, and execution standards.
• Partner with Analytics and business stakeholders to ensure campaigns deliver measurable outcomes
• Identify optimization opportunities to improve campaign performance, scalability, and operational efficiency.
• Provide day-to-day leadership, prioritization, and oversight for activation work across the team
• Support and maintain data pipelines and datasets within AEP/RTCDP to enable activation use cases
• Work with XDM schemas, audiences, and profiles to ensure data is structured and usable for segmentation and personalization
• Troubleshoot data quality, audience qualification, and activation issues
• Ensure adherence to data governance, consent, and privacy standards

Senior Marketing Activation, Data Lead

Solutions Engineer

• Lead, coach, and develop Store Solutions managers, engineers, analysts, support leaders, and senior individual contributors; operate as a leader-of-leaders rather than a tactical operator.
• Build and maintain a proactive, service-oriented support culture focused on minimizing store disruption and improving the team-member experience.
• Lead the evolution toward AI-assisted operational support and software delivery practices, equipping teams with integrated SDLC and operational tooling to improve delivery speed, quality, troubleshooting, and support responsiveness.
• Foster a culture of accountability, collaboration, technical excellence, operational discipline, and continuous improvement.
• Champion engineering and operational health using measurable performance indicators including support responsiveness, incident reduction trends, release quality, system uptime, and delivery effectiveness.
• Own and maintain the multi-year Store Solutions technology roadmap aligned to broader Unified Commerce and enterprise technology strategies.
• Lead modernization efforts across POS systems, store mobility platforms, device management, payment technologies, and operational tooling.
• Define and enforce architectural standards, integration patterns, platform governance, and lifecycle management practices for Store Solutions technologies.
• Partner with enterprise architecture, infrastructure, cybersecurity, and application teams to ensure scalable, secure, and supportable solutions.
• Drive evaluation and adoptions of emerging technologies that improve store productivity, customer experience, operational efficiency, and supportability.
• Own availability, performance, and incident-response posture for platforms in scope; partner with InfoSec on security and data-protection requirements.
• Ensure stores receive responsive, proactive, and business-aware support that minimizes operational impact and protects revenue.
• Lead major incident management and escalation processes involving stores, vendors, carriers, infrastructure teams, and third-party providers.
• Communicate with senior leaders about issues, including brand presidents, senior store operations leaders, and other key stakeholders.
• Drive root-cause analysis and permanent corrective actions for recurring store issues, connectivity failures, POS instability, payment disruptions, and device performance concerns.
• Establish and monitor service levels, operational KPIs, peak-readiness plans, disaster recovery capabilities, and support performance metrics.
• Partner with InfoSec and Infrastructure teams to maintain secure and compliant store environments.
• Ensure store technology deployments, upgrades, and changes are properly tested, communicated, and executed with minimal business disruption.
• Lead continuous improvement initiatives focused on release quality, observability, monitoring, support tooling, and operational efficiency.
• Build and maintain trust-based, peer-level relationships with senior business partners across Unified Commerce, Operations, and corporate functions.
• Translate store operational needs and customer experience priorities into actionable technology roadmaps and support models.
• Serve as the primary technology leader representing Store Solutions in cross-functional planning, prioritization, and executive discussions.

Director, Store Solutions Engineering – Architecture

QA Engineer

• Define and execute a strategic QE/PE roadmap aligned with business goals.
• Build and lead a high-performing team focused on test automation and performance engineering practices.
• Drive AI-enabled agentic testing and shift-left practices within CI/CD pipelines and workflows.
• Establish KPIs for quality, velocity, performance, and defect reduction.
• Monitor, analyze, and report on quality and performance metrics while recommending improvements
• Collaborate cross-functionally to align technology strategy and delivery with the application development teams.
• Drive AI-enabled testing practices for predictive defect detection, intelligent test case generation, agentic testing, and root cause analysis.
• Establish frameworks to reduce production defect leakage and improve release quality.
• Scale test automation coverage across functional, integration, regression, and performance layers.
• Implement shift-left testing and continuous quality practices within CI/CD pipelines.
• Develop a comprehensive performance engineering approach, including load, stress, scalability, and resilience testing.
• Integrate performance monitoring and predictive analytics for proactive issue resolution.
• Define and track KPIs for quality, automation coverage, performance benchmarks, and production defect rates.
• Build and mentor a high-performing QA/PE team, fostering innovation and continuous improvement.
• Collaborate with engineering, product, and business stakeholders to ensure alignment and transparency.

IT Director, Quality Engineering – Process Engineering

• Design, build, and maintain scalable data pipelines to ingest, transform, and curate data within Adobe AEP and RTCDP.
• Develop and optimize complex SQL queries and data transformations for large-scale datasets.
• Design and maintain data models (conceptual, logical, and physical) that enable efficient analytics, segmentation, and activation use cases.
• Experience working with AWS data services such as S3, Redshift, Glue, and related tooling.
• Architect end-to-end solution designs leveraging AEP components such as XDM schemas, datasets, identities, profiles, and segmentation.
• Ensure high data quality, consistency, and governance across systems by implementing validation, monitoring, and error-handling mechanisms.
• Collaborate with business stakeholders, architects, and downstream consumers to understand requirements and deliver scalable data solutions.
• Tune performance and optimize pipelines for real-time and batch workloads within RTCDP.
• Document data architecture, data flows, and operational procedures.
• Support integrations with upstream and downstream systems including CRM, web/mobile, and other MarTech and analytics platforms.
• Demonstrated experience implementing data processing, automation, validation, and orchestration logic.
• Follow best practices for security, privacy, and compliance (PII handling, consent, and identity resolution).

Customer Data Platform Data Engineer

Recruitment

• Review staffing needs and make recommendations
• Coordinate recruiting efforts in the assigned area
• Establish relationships with local colleges for talent sourcing
• Monitor staffing and labor budgets
• Train team members on performance expectations

Performance Manager – Recruiting & Training

• Identify staffing needs and make recommendations
• Coordinate recruiting blitz
• Establish relationships with local colleges
• Assist in interview processes
• Monitor budgets and staffing metrics
• Create and execute training plans

Performance Manager – Recruiting, Training

Administration

• Communicate administrative and visual display expectations to team members
• Visit stores to identify successes and opportunities
• Provide recommendations for training and address operational issues

Performance Manager – Administration, Visual

• The Store Technical Support Director is responsible for leading store technology support operations, including management of the internal Tier 2 support organization, outsourced Level 1 help desk providers, and third-party field service vendors supporting onsite store technology issues.
• This role oversees the operational health, support strategy, incident management, and continuous improvement of store systems.
• The position is accountable for ensuring timely resolution of hardware, software, and network issues impacting stores, while driving proactive monitoring, operational excellence, vendor accountability, and business continuity.
• The Director partners closely with Store Operations, Infrastructure, Engineering, Security, and external partners to deliver stable, reliable, and business-focused support services that minimize disruption to store operations and improve the overall store team-member and customer experience.