Financial Planning and Analysis

• Independently process batches and transactions for multiple incentive plans with accuracy and timeliness
• Maintain mastery of existing processes and identify opportunities for improvement
• Develop and update incentive plans in the sales performance management platform
• Ensure required approvals and documentation are obtained and validated
• Serve as the go-to expert for rebate-related processes and systems
• Engage with business partners at all levels to drive effective outcomes in incentive programs

Principal Financial Analyst – Global Partner Sales Rebates

Sales

• Prospect, negotiate, and successfully onboard new employer clients and benefit brokers.
• Educate brokers and their clients regarding Norton LifeLock Benefit Solutions value propositions.
• Take a consultative approach with brokers, assessing their needs and tailoring program design.
• Stay informed of industry trends and interface with Employee Benefits team, Sales Enablement, and other stakeholders.

Regional Sales Director – Midwest

Product Manager

• Identify opportunities to personalize the ecommerce shopping experience, particularly the content and storytelling, relevance based on what we know about our customers
• Improve the integration with our customer systems of record - which are evolving - with a new CDP and analytics stack
• Evaluate and improve our CMS implementation (AEM / AEM Cloud) to facilitate speed of experimentation and productionalization of experiments
• Partner with engineering, data and analytics, architecture to improve how we can determine and drive site personalization and experimentation
• Drive experiments and a learning agenda, contributing to revenue growth via a more relevant and compelling site
• Integrate effectively with traffic generation channels - including paid search, social and SEO
• Effectively leverage AI - in how you efficiently manage your product and in bringing AI-driven experiences into the product

Principal Product Manager – Martech, Personalization

Business Analyst

• Oversee and manage system configurations across Oracle Fusion Cloud, Oracle EBS R12, and BlackLine, including configuration and customization of reconciliation templates, RICE components, Oracle Financials (AP, AR, FA, GL, and Cash Management), OAF, Workflow, AME, and related customizations and extensions.
• Grouping keys, matching keys, tolerance bands, aging buckets.
• Rule sequencing (exact match → fuzzy match → threshold variance).
• Exception categorization (chargebacks, partial captures, FX diffs, fees).
• Multi-currency handling & FX rate alignment Transaction.
• Auto-match strategy optimization (>85–95% target auto-match).
• Collaborate closely with business stakeholders to support configuration changes, enhance system capabilities, and continuously optimize business processes.
• Provide expert-level configuration, integration, and troubleshooting support to ensure stable, efficient, and seamless operation of Oracle EBS and Oracle Fusion Cloud environments.
• Uphold high standards of software quality and technical excellence by promoting best practices, writing clean, secure, testable, and maintainable code, and fostering strong engineering habits within the team.
• Participate in the full software development lifecycle, including requirements gathering, design, development, testing, debugging, optimization, scaling, maintenance, and continuous improvement of applications to deliver high-value business solutions.
• Execute critical maintenance, deployment, and release management activities, including providing occasional off-hours support as needed.
• Proactively identify system issues, performance bottlenecks, risks, and improvement opportunities, and drive meaningful change by collaborating with peers and leadership to build alignment and implement solutions.

Senior Principal IT Business Analyst

Data Engineer

• Own and evolve the end-to-end people data architecture, including warehouse environments, ETL/ELT pipelines, data models, and governance.
• Maintain a single source of truth for workforce metrics with standardized definitions, consistent logic, and strong data quality controls.
• Lead the development, deployment, and maintenance of dashboards, reports, and analytics products that drive actionable insights for HR and business leaders.
• Enable governed, secure, and intuitive self-service BI capabilities across the P&C organization.
• Partner closely with People Operations, HRBPs, CoEs, IT, and Finance to ensure data alignment, integration, reconciliation, and system optimization.
• Monitor data quality, platform performance, and user experience; implement continuous improvements.
• Support foundational AI-readiness by structuring and documenting clean, high-quality people data assets.
• Design dimensional models and curated data sets to support reporting, predictive analytics, and workforce planning.
• Build scalable ETL/ELT pipelines using modern data engineering tools (e.g., dbt, Fivetran, Airflow).
• Administer the BI platform (e.g., Tableau, Power BI, Looker), including governance, permissions, semantic layers, and performance optimization.
• Develop advanced analytics solutions such as headcount forecasting, attrition modeling, compensation analysis, and talent flow insights.
• Transform raw data into business-ready assets, enabling reporting, storytelling and decision support for senior executives.
• Establish data governance practices, including metadata, lineage, definitions, and role-based access control.
• Serve as a technical advisor for emerging use cases in AI, automation, and predictive analytics within the HR ecosystem.

People Data Architect, Data Science

• Serve as the insights and storytelling partner for assigned business units, building recurring rhythms to review KPIs, dashboards, and workforce trends.
• Develop clear, narrative-driven analytics deliverables that highlight risks, opportunities, and recommended actions.
• Connect workforce insights to business outcomes, helping leaders understand not just what is happening but why, so what, and now what.
• Maintain a deep understanding of business strategies, talent priorities, and operational realities to contextualize findings appropriately.
• Provide data-guided perspectives during annual and cyclical processes such as talent reviews, organization planning, headcount forecasting, and performance cycles.
• Collaborate closely with business partners and CoEs on cross-functional squads to shape people strategies with evidence-based recommendations.
• Develop insights for executive-ready presentations, business narratives, and actionable recommendations.
• Advise leaders on interpreting trends, pressure-testing assumptions, and making decisions with confidence.
• Proactively monitor workforce health indicators (e.g., attrition, mobility, hiring, engagement, diversity, performance outcomes) to identify emerging patterns before they become issues.
• Work with the Head of People Technology, Data, and Innovation to build storytelling frameworks and executive briefings that distill complex datasets into intuitive, human-centered narratives.
• Lead consultative discussions with senior leaders, facilitating conversations that drive clarity, alignment, and strategic choices.
• Prepare data narratives for high-impact forums such as quarterly business reviews, workforce planning sessions, and organizational design discussions.
• Partner with the People Data Architect to influence data model enhancements based on insight needs, business priorities, and new use cases.
• Bring a strong point of view using data, business context, and an understanding of organizational dynamics to guide data driven people decisions.
• Create repeatable insight templates, playbooks, and frameworks that scale storytelling capabilities across the P&C function.

People Data & Insights Analyst

Analytics Engineer

• Drive the modernization of site analytics, tagging infrastructure, and data layer across a multi-brand ecommerce ecosystem
• Architect and deploy a consistent data layer, consolidate multiple tag management systems, lead the implementation of a new analytics platform, and establish ongoing data quality monitoring and governance
• Design a unified, scalable data layer schema that supports multiple brands, experiences, and business needs
• Audit and evaluate current data layer implementations; define a clear plan to migrate to a consistent model
• Document event naming standards, business logic, and instrumentation requirements
• Partner with engineering to ensure accurate, performant implementation across platforms
• Consolidate and rationalize multiple tag management systems into a single, clean, governed environment
• Audit existing tags, triggers, variables, and scripts; remove redundancies and resolve conflicts
• Validate that data collection is accurate, complete, and aligned with KPIs and reporting needs
• Build automated QA workflows and monitoring systems

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