Data & Analytics Solutions Manager

TJX Companies At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. Youll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether youre working in our four global Home Offices, Distribution Centers or Retail StoresTJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, youll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX familya Fortune 100 company and the worlds leading off-price retailer. Job Description: Title: Data & Analytics Solutions ManagerRole Type - Individual Contributor (IC)Shift Timings - 2:30 PM - 11:30 PM - UK shiftIdeal Candidate Persona - We're seeking a Data & Analytics Solutions Manager (IC) who can combine analytics architecture, data engineering, governance, and business partnership to deliver trusted, scalable analytics solutions that enable data-driven decision-making across the enterprise.Analytics Data Design & Enablement (BusinessFacing)Design and shape analyticsready data models and structures (conceptual, logical, and dimensional) to support reporting, planning, and analytical use cases.Translate business requirements into clear analytics data needs, ensuring alignment with TJXapproved enterprise data platforms and architectures.Partner with TJX IT Data Architecture teams to ensure analytics models conform to enterprise standards while remaining flexible for evolving business needs.Establish reusable analytics patterns and templates that improve consistency, scalability, and time to insight across GBS.Data Engineering Partnership & Pipeline EnablementWork in close collaboration with TJX IT Data Engineering and Platform teams to enable reliable ingestion, transformation, and orchestration of analytics data.Provide analyticsdomain input into ETL/ELT design decisions to ensure pipelines effectively support reporting, dashboards, and advanced analytics.Support prioritization and design of data pipelines based on business value, data criticality, and analytics demand.Promote best practices in data reliability, observability, and performance from an analytics consumer perspective.Data Quality, Governance & ComplianceAct as an analytics data steward, ensuring accuracy, consistency, and trustworthiness of analytics data assets.Partner with TJX IT Data Governance, Security, and Privacy teams to implement enterprise data policies, quality rules, and controls.Support data lineage, metadata management, certification, and issue remediation activities in alignment with TJX governance frameworks.Embed data quality and governance requirements into analytics design, delivery, and ongoing monitoring processes.Ensure analytics solutions comply with enterprise standards for data access, rolebased security, and regulatory requirements.Business Intelligence & ReportingEnable modern, governed BI solutions by defining semantic layers, KPIs, and reporting structures aligned with business priorities.Partner with analysts and product owners to ensure dashboards and insights are actionable, performant, and easy to consume.Support selfservice analytics by promoting standardized, welldocumented analytics datasets and definitions.Ensure BI and analytics outputs consistently reflect agreed data definitions and governance standards.Advanced Analytics & AI EnablementKnowledge of AI & Machine learning , Python libraries for data analyticsDesign feature stores, model serving layers, and MLOps pipelines where relevant.Evaluate data readiness and infrastructure for advanced analytics use cases.Promote adoption of AI-driven insights and analytical innovation across the organization.Stakeholder Management & CommunicationServe as a key liaison between business teams and TJX IT, ensuring shared understanding of requirements, constraints, and approvals.Communicate analytics data concepts, tradeoffs, and implications in clear, nontechnical language.Present analytics solutions, data quality considerations, and delivery approaches to stakeholders and leadership.Build trusted relationships that reinforce compliance, collaboration, and shared ownership of outcomes.Technical Leadership & Best PracticesApply and adhere to TJXdefined architectural principles, coding standards, and analytics best practices when designing and delivering analytics solutions.Participate in design reviews, performance evaluations, and technical assessments to ensure alignment with enterprise standards and quality expectations.Partner with enterprise architecture and platform teams to evaluate new tools, technologies, and patterns relevant to analytics use cases.Support adoption and effective use of approved cloudnative analytics platforms and modern data stack practices.Decision MakingIndependently designs and recommends data and analytics architecture solutions.Makes decisions on data modelling approaches, integration patterns, and platform usage within established .