Novartis
East Hanover, New Jersey
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities that power NovaOS. This role is responsible for creating a trusted, reusable knowledge foundation that connects data, business concepts, ontologies, taxonomies, and AI agents to enable consistent reasoning, interoperability, and scalable enterprise intelligence. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel. About the Role Key Responsibilities: Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities. Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish a shared understanding across the organization. Design and implement the enterprise semantic layer that enables trusted AI, consistent analytics, interoperability, and reusable business knowledge. Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions. Establish governance, metadata management, knowledge lifecycle processes, and quality standards for enterprise knowledge assets. Drive innovation in knowledge graphs, retrieval-augmented generation (RAG), semantic search, reasoning engines, and AI-enabled knowledge management. Build and lead a high-performing team of semantic engineers, ontology specialists, and knowledge engineers while fostering technical excellence and innovation. Essential Requirements: Education: • Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline. 10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience. Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture. Experience building enterprise semantic platforms that enable AI, analytics, search, and data interoperability at scale. Exceptional leadership, executive communication, and cross-functional stakeholder management skills. Desirable Requirements: Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms. Experience in pharmaceutical, healthcare, or other highly regulated industries. Novartis Compensation Summary: The salary for this position is expected to range between $225,400 and $418,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the VP, Applied AI, Data Science, and Commercial Intelligence, the Executive Director, Semantic and Knowledge Engineering leads the strategy, architecture, and implementation of the enterprise semantic layer and knowledge engineering capabilities that power NovaOS. This role is responsible for creating a trusted, reusable knowledge foundation that connects data, business concepts, ontologies, taxonomies, and AI agents to enable consistent reasoning, interoperability, and scalable enterprise intelligence. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel. About the Role Key Responsibilities: Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities. Lead the development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish a shared understanding across the organization. Design and implement the enterprise semantic layer that enables trusted AI, consistent analytics, interoperability, and reusable business knowledge. Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions. Establish governance, metadata management, knowledge lifecycle processes, and quality standards for enterprise knowledge assets. Drive innovation in knowledge graphs, retrieval-augmented generation (RAG), semantic search, reasoning engines, and AI-enabled knowledge management. Build and lead a high-performing team of semantic engineers, ontology specialists, and knowledge engineers while fostering technical excellence and innovation. Essential Requirements: Education: • Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline. 10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience. Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture. Experience building enterprise semantic platforms that enable AI, analytics, search, and data interoperability at scale. Exceptional leadership, executive communication, and cross-functional stakeholder management skills. Desirable Requirements: Experience applying semantic technologies to generative AI, agentic AI, RAG, and enterprise AI platforms. Experience in pharmaceutical, healthcare, or other highly regulated industries. Novartis Compensation Summary: The salary for this position is expected to range between $225,400 and $418,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Novartis
East Hanover, New Jersey
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the Executive Director, Semantic and Knowledge Engineering, the Associate Director, Semantic and Knowledge Engineering designs, builds, and governs enterprise semantic models, ontologies, taxonomies, business vocabularies, knowledge graphs, metadata services, and semantic APIs. The role enables AI, analytics, enterprise search, interoperability, retrieval-augmented generation (RAG), agentic AI, contextual search, and reasoning engines by embedding reusable semantic capabilities into products and workflows across Strategy, Platforms & Transformation. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel. There are 2 positions available. About the Role Key Responsibilities : Enterprise semantic modeling and knowledge engineering • Design, develop, and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish consistent meaning across products, data, and AI capabilities. • Build and enhance knowledge graphs, metadata services, and semantic APIs that support AI, analytics, enterprise applications, and commercial decision enablement. Semantic capabilities for AI and product workflows • Collaborate with Product, Applied AI, Analytics Engineering, and Platform Engineering teams to embed semantic capabilities into products, workflows, platforms, and reusable solution patterns. • Support semantic foundations for RAG, agentic AI, contextual search, reasoning engines, enterprise search, analytics, and interoperability initiatives. Metadata governance and knowledge lifecycle management • Implement metadata governance, semantic quality controls, stewardship practices, and lifecycle management for enterprise knowledge assets. • Promote quality, consistency, reuse, transparency, and governed evolution of semantic assets across the SPT ecosystem. Technology evaluation and architecture evolution • Evaluate emerging semantic technologies, standards, graph capabilities, and knowledge engineering approaches to inform the evolution of the enterprise knowledge architecture. • Contribute reusable engineering patterns and technical guidance that reduce duplication and improve scalability across semantic and knowledge engineering work. Technical mentorship and cross-functional collaboration • Mentor semantic and knowledge engineers while promoting reusable engineering patterns, technical excellence, disciplined documentation, and pragmatic implementation. • Communicate technical trade-offs, risks, dependencies, and recommendations clearly to product, engineering, analytics, AI, and business stakeholders. Essential Requirements: Education: Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline; advanced degree preferred. 6+ years of progressive experience in semantic technologies, knowledge engineering, metadata management, data/information architecture, data product engineering, or AI-enabling data platforms. Hands-on experience designing and maintaining ontologies, taxonomies, controlled vocabularies, business glossaries, semantic models, RDF/OWL, SKOS, SPARQL, graph databases, knowledge graphs, metadata catalogs, data lineage, and semantic APIs/services. Experience building semantic assets that enable AI grounding, RAG/GraphRAG, enterprise search, contextual search, reasoning engines, analytics consistency, interoperability, and reusable product capabilities. Working knowledge of data governance, stewardship models, provenance, quality controls, access/security controls, lifecycle management, privacy, and compliance expectations for enterprise knowledge assets. Ability to translate complex business/domain concepts into reusable semantic models and partner effectively with Product, Applied AI, Analytics Engineering, Platform Engineering, Architecture, and business domain experts. Strong engineering delivery discipline, including documentation, versioning, validation/testing of semantic assets, standards adherence, backlog execution, reusable patterns, and pragmatic implementation in agile/product teams. Strong analytical, communication, stakeholder management, and collaboration skills, with the ability to explain semantic design choices, technical trade-offs, risks, and dependencies to technical and non-technical stakeholders. Desirable Requirements: Experience applying semantic technologies in pharmaceutical, healthcare, life sciences, commercial, clinical, medical, real-world data, or another regulated data environment. Experience supporting generative AI, agentic AI, LLM-powered products, RAG/GraphRAG, vector databases, graph-enhanced retrieval, knowledge graph embeddings, enterprise search, or AI-ready semantic layers. Familiarity with FAIR data principles, master/reference data modernization, metadata platform roadmaps, ontology governance forums, stewardship operating models, and enterprise knowledge architecture practices. Experience with cloud-based data and AI ecosystems, graph/vector tooling, semantic layer technologies, API-based semantic services, and integration with enterprise search or analytics platforms. Experience mentoring junior semantic/knowledge engineers, shaping reusable engineering patterns, and contributing to technical standards or communities of practice. Advanced degree or relevant certification in Computer Science, Information Science, Data Science, Artificial Intelligence, Bioinformatics, Knowledge Engineering, Ontology Engineering, or a related discipline. Novartis Compensation Summary: The salary for this position is expected to range between $176,400 and $327,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Reporting to the Executive Director, Semantic and Knowledge Engineering, the Associate Director, Semantic and Knowledge Engineering designs, builds, and governs enterprise semantic models, ontologies, taxonomies, business vocabularies, knowledge graphs, metadata services, and semantic APIs. The role enables AI, analytics, enterprise search, interoperability, retrieval-augmented generation (RAG), agentic AI, contextual search, and reasoning engines by embedding reusable semantic capabilities into products and workflows across Strategy, Platforms & Transformation. The ideal location for this role is East Hanover but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover for periodic live meetings will be at the employee's expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 10% travel. There are 2 positions available. About the Role Key Responsibilities : Enterprise semantic modeling and knowledge engineering • Design, develop, and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic models that establish consistent meaning across products, data, and AI capabilities. • Build and enhance knowledge graphs, metadata services, and semantic APIs that support AI, analytics, enterprise applications, and commercial decision enablement. Semantic capabilities for AI and product workflows • Collaborate with Product, Applied AI, Analytics Engineering, and Platform Engineering teams to embed semantic capabilities into products, workflows, platforms, and reusable solution patterns. • Support semantic foundations for RAG, agentic AI, contextual search, reasoning engines, enterprise search, analytics, and interoperability initiatives. Metadata governance and knowledge lifecycle management • Implement metadata governance, semantic quality controls, stewardship practices, and lifecycle management for enterprise knowledge assets. • Promote quality, consistency, reuse, transparency, and governed evolution of semantic assets across the SPT ecosystem. Technology evaluation and architecture evolution • Evaluate emerging semantic technologies, standards, graph capabilities, and knowledge engineering approaches to inform the evolution of the enterprise knowledge architecture. • Contribute reusable engineering patterns and technical guidance that reduce duplication and improve scalability across semantic and knowledge engineering work. Technical mentorship and cross-functional collaboration • Mentor semantic and knowledge engineers while promoting reusable engineering patterns, technical excellence, disciplined documentation, and pragmatic implementation. • Communicate technical trade-offs, risks, dependencies, and recommendations clearly to product, engineering, analytics, AI, and business stakeholders. Essential Requirements: Education: Bachelor's degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline; advanced degree preferred. 6+ years of progressive experience in semantic technologies, knowledge engineering, metadata management, data/information architecture, data product engineering, or AI-enabling data platforms. Hands-on experience designing and maintaining ontologies, taxonomies, controlled vocabularies, business glossaries, semantic models, RDF/OWL, SKOS, SPARQL, graph databases, knowledge graphs, metadata catalogs, data lineage, and semantic APIs/services. Experience building semantic assets that enable AI grounding, RAG/GraphRAG, enterprise search, contextual search, reasoning engines, analytics consistency, interoperability, and reusable product capabilities. Working knowledge of data governance, stewardship models, provenance, quality controls, access/security controls, lifecycle management, privacy, and compliance expectations for enterprise knowledge assets. Ability to translate complex business/domain concepts into reusable semantic models and partner effectively with Product, Applied AI, Analytics Engineering, Platform Engineering, Architecture, and business domain experts. Strong engineering delivery discipline, including documentation, versioning, validation/testing of semantic assets, standards adherence, backlog execution, reusable patterns, and pragmatic implementation in agile/product teams. Strong analytical, communication, stakeholder management, and collaboration skills, with the ability to explain semantic design choices, technical trade-offs, risks, and dependencies to technical and non-technical stakeholders. Desirable Requirements: Experience applying semantic technologies in pharmaceutical, healthcare, life sciences, commercial, clinical, medical, real-world data, or another regulated data environment. Experience supporting generative AI, agentic AI, LLM-powered products, RAG/GraphRAG, vector databases, graph-enhanced retrieval, knowledge graph embeddings, enterprise search, or AI-ready semantic layers. Familiarity with FAIR data principles, master/reference data modernization, metadata platform roadmaps, ontology governance forums, stewardship operating models, and enterprise knowledge architecture practices. Experience with cloud-based data and AI ecosystems, graph/vector tooling, semantic layer technologies, API-based semantic services, and integration with enterprise search or analytics platforms. Experience mentoring junior semantic/knowledge engineers, shaping reusable engineering patterns, and contributing to technical standards or communities of practice. Advanced degree or relevant certification in Computer Science, Information Science, Data Science, Artificial Intelligence, Bioinformatics, Knowledge Engineering, Ontology Engineering, or a related discipline. Novartis Compensation Summary: The salary for this position is expected to range between $176,400 and $327,600 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Family Dollar
Chesapeake, Virginia
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar, where our enterprise is undergoing a major transformation to become a more data-driven organization. Insights from our rapidly growing data environment are fueling critical decisions that shape our customer experience, operational efficiency, and strategic growth. We are seeking a skilled Business Analyst, Enterprise Data & Analytics who is passionate about building scalable data & BI solutions and lives and breathes data. This role collaborates closely with business partners, subject matter experts and engineers to define goals, translate needs into requirements, and deliver features that power analytics and reporting across the enterprise. You will support teams across Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores by delivering analytics solutions, metrics, dashboards, and data capabilities. The Business Analyst must be highly collaborative, organized, analytical, and an excellent communicator and problem solver. Principal Duties and Responsibilities Partners with Director and Engineering Managers on the development and execution of enterprise data product strategy. Develops clear requirements across business domains by collaborating with Business, Analytics, and Executive teams. Builds and owns a portfolio of data products-including dashboards, KPIs, semantic data layers, and self-service analytics tools-for internal and external stakeholders. Partners with stakeholders to define the UX requirements and user journeys. Works with Analytics partners to design prototypes for metrics, dashboards, and analytical experiences. Partners with Engineering Managers to manage scrum teams by setting priorities, defining epics and stories, and communicating a clear product vision. Translates complex analyses and ambiguous business needs into simple, actionable requirements and clear presentations. Conducts regular and ad hoc reporting, monitors KPIs, and measures product adoption, performance, and ROI. Builds strong cross-functional relationships to ensure alignment across business and technical teams. Maintains knowledge of industry trends, emerging data technologies, and competitive analytics capabilities to identify product improvements and innovation opportunities. Partners with Data Engineering and Governance to ensure data quality, lineage, definitions, and reliability meet enterprise standards. Drives user research, feedback sessions, and change management efforts to improve product usability and adoption. Creates clear documentation including PRDs, user stories, acceptance criteria, release notes, and user guides. Minimum Requirements/Qualifications Bachelor's degree in Business, Information Technology, Analytics, or related field. 3+ years of experience in product management, data analytics, business intelligence, or related functions. 3+ years of hands-on experience with analytics, data, or visualization tools. Excellent analytical and critical-thinking skills with the ability to build business cases, measure impact, and present results to senior leadership. Strong relationship-building, negotiation, and communication skills with a proven ability to influence without authority. High attention to detail with the ability to manage multiple priorities, collaborate across teams, and operate effectively in a fast-paced, changing environment. Strong proficiency in SQL (BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI. Exceptional verbal and written communication skills, including executive presentations. Familiarity with Agile methodologies and experience writing epics, user stories, and acceptance criteria. Understanding of data modeling concepts, ETL/ELT pipelines, data quality, and semantic layers is a plus. Experience with data governance, KPI definition, product success metrics, or self-service analytics is a strong advantage. Experience in retail, supply chain, or eCommerce is helpful but not required. This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Projected Salary Range: $91000-$102,250 Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Supply Chain Support Family Dollar
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar, where our enterprise is undergoing a major transformation to become a more data-driven organization. Insights from our rapidly growing data environment are fueling critical decisions that shape our customer experience, operational efficiency, and strategic growth. We are seeking a skilled Business Analyst, Enterprise Data & Analytics who is passionate about building scalable data & BI solutions and lives and breathes data. This role collaborates closely with business partners, subject matter experts and engineers to define goals, translate needs into requirements, and deliver features that power analytics and reporting across the enterprise. You will support teams across Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores by delivering analytics solutions, metrics, dashboards, and data capabilities. The Business Analyst must be highly collaborative, organized, analytical, and an excellent communicator and problem solver. Principal Duties and Responsibilities Partners with Director and Engineering Managers on the development and execution of enterprise data product strategy. Develops clear requirements across business domains by collaborating with Business, Analytics, and Executive teams. Builds and owns a portfolio of data products-including dashboards, KPIs, semantic data layers, and self-service analytics tools-for internal and external stakeholders. Partners with stakeholders to define the UX requirements and user journeys. Works with Analytics partners to design prototypes for metrics, dashboards, and analytical experiences. Partners with Engineering Managers to manage scrum teams by setting priorities, defining epics and stories, and communicating a clear product vision. Translates complex analyses and ambiguous business needs into simple, actionable requirements and clear presentations. Conducts regular and ad hoc reporting, monitors KPIs, and measures product adoption, performance, and ROI. Builds strong cross-functional relationships to ensure alignment across business and technical teams. Maintains knowledge of industry trends, emerging data technologies, and competitive analytics capabilities to identify product improvements and innovation opportunities. Partners with Data Engineering and Governance to ensure data quality, lineage, definitions, and reliability meet enterprise standards. Drives user research, feedback sessions, and change management efforts to improve product usability and adoption. Creates clear documentation including PRDs, user stories, acceptance criteria, release notes, and user guides. Minimum Requirements/Qualifications Bachelor's degree in Business, Information Technology, Analytics, or related field. 3+ years of experience in product management, data analytics, business intelligence, or related functions. 3+ years of hands-on experience with analytics, data, or visualization tools. Excellent analytical and critical-thinking skills with the ability to build business cases, measure impact, and present results to senior leadership. Strong relationship-building, negotiation, and communication skills with a proven ability to influence without authority. High attention to detail with the ability to manage multiple priorities, collaborate across teams, and operate effectively in a fast-paced, changing environment. Strong proficiency in SQL (BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI. Exceptional verbal and written communication skills, including executive presentations. Familiarity with Agile methodologies and experience writing epics, user stories, and acceptance criteria. Understanding of data modeling concepts, ETL/ELT pipelines, data quality, and semantic layers is a plus. Experience with data governance, KPI definition, product success metrics, or self-service analytics is a strong advantage. Experience in retail, supply chain, or eCommerce is helpful but not required. This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Projected Salary Range: $91000-$102,250 Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Supply Chain Support Family Dollar
Family Dollar
Chesapeake, Virginia
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar, where our enterprise is undergoing a major transformation to become a more data-driven organization. Insights from our rapidly growing data environment are fueling critical decisions that shape our customer experience, operational efficiency, and strategic growth. We are seeking a skilled Business Analyst, Enterprise Data & Analytics who is passionate about building scalable data & BI solutions and lives and breathes data. This role collaborates closely with business partners, subject matter experts and engineers to define goals, translate needs into requirements, and deliver features that power analytics and reporting across the enterprise. You will support teams across Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores by delivering analytics solutions, metrics, dashboards, and data capabilities. The Business Analyst must be highly collaborative, organized, analytical, and an excellent communicator and problem solver. Principal Duties and Responsibilities Partners with Director and Engineering Managers on the development and execution of enterprise data product strategy. Develops clear requirements across business domains by collaborating with Business, Analytics, and Executive teams. Builds and owns a portfolio of data products-including dashboards, KPIs, semantic data layers, and self-service analytics tools-for internal and external stakeholders. Partners with stakeholders to define the UX requirements and user journeys. Works with Analytics partners to design prototypes for metrics, dashboards, and analytical experiences. Partners with Engineering Managers to manage scrum teams by setting priorities, defining epics and stories, and communicating a clear product vision. Translates complex analyses and ambiguous business needs into simple, actionable requirements and clear presentations. Conducts regular and ad hoc reporting, monitors KPIs, and measures product adoption, performance, and ROI. Builds strong cross-functional relationships to ensure alignment across business and technical teams. Maintains knowledge of industry trends, emerging data technologies, and competitive analytics capabilities to identify product improvements and innovation opportunities. Partners with Data Engineering and Governance to ensure data quality, lineage, definitions, and reliability meet enterprise standards. Drives user research, feedback sessions, and change management efforts to improve product usability and adoption. Creates clear documentation including PRDs, user stories, acceptance criteria, release notes, and user guides. Minimum Requirements/Qualifications Bachelor's degree in Business, Information Technology, Analytics, or related field. 3+ years of experience in product management, data analytics, business intelligence, or related functions. 3+ years of hands-on experience with analytics, data, or visualization tools. Excellent analytical and critical-thinking skills with the ability to build business cases, measure impact, and present results to senior leadership. Strong relationship-building, negotiation, and communication skills with a proven ability to influence without authority. High attention to detail with the ability to manage multiple priorities, collaborate across teams, and operate effectively in a fast-paced, changing environment. Strong proficiency in SQL (BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI. Exceptional verbal and written communication skills, including executive presentations. Familiarity with Agile methodologies and experience writing epics, user stories, and acceptance criteria. Understanding of data modeling concepts, ETL/ELT pipelines, data quality, and semantic layers is a plus. Experience with data governance, KPI definition, product success metrics, or self-service analytics is a strong advantage. Experience in retail, supply chain, or eCommerce is helpful but not required. This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Projected Salary Range: $91000-$102,250 Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Supply Chain Support Family Dollar
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center Summary of Position (Job Purpose) This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar, where our enterprise is undergoing a major transformation to become a more data-driven organization. Insights from our rapidly growing data environment are fueling critical decisions that shape our customer experience, operational efficiency, and strategic growth. We are seeking a skilled Business Analyst, Enterprise Data & Analytics who is passionate about building scalable data & BI solutions and lives and breathes data. This role collaborates closely with business partners, subject matter experts and engineers to define goals, translate needs into requirements, and deliver features that power analytics and reporting across the enterprise. You will support teams across Digital Marketing, Merchandising, Data Science, Supply Chain, eCommerce, Finance, and Stores by delivering analytics solutions, metrics, dashboards, and data capabilities. The Business Analyst must be highly collaborative, organized, analytical, and an excellent communicator and problem solver. Principal Duties and Responsibilities Partners with Director and Engineering Managers on the development and execution of enterprise data product strategy. Develops clear requirements across business domains by collaborating with Business, Analytics, and Executive teams. Builds and owns a portfolio of data products-including dashboards, KPIs, semantic data layers, and self-service analytics tools-for internal and external stakeholders. Partners with stakeholders to define the UX requirements and user journeys. Works with Analytics partners to design prototypes for metrics, dashboards, and analytical experiences. Partners with Engineering Managers to manage scrum teams by setting priorities, defining epics and stories, and communicating a clear product vision. Translates complex analyses and ambiguous business needs into simple, actionable requirements and clear presentations. Conducts regular and ad hoc reporting, monitors KPIs, and measures product adoption, performance, and ROI. Builds strong cross-functional relationships to ensure alignment across business and technical teams. Maintains knowledge of industry trends, emerging data technologies, and competitive analytics capabilities to identify product improvements and innovation opportunities. Partners with Data Engineering and Governance to ensure data quality, lineage, definitions, and reliability meet enterprise standards. Drives user research, feedback sessions, and change management efforts to improve product usability and adoption. Creates clear documentation including PRDs, user stories, acceptance criteria, release notes, and user guides. Minimum Requirements/Qualifications Bachelor's degree in Business, Information Technology, Analytics, or related field. 3+ years of experience in product management, data analytics, business intelligence, or related functions. 3+ years of hands-on experience with analytics, data, or visualization tools. Excellent analytical and critical-thinking skills with the ability to build business cases, measure impact, and present results to senior leadership. Strong relationship-building, negotiation, and communication skills with a proven ability to influence without authority. High attention to detail with the ability to manage multiple priorities, collaborate across teams, and operate effectively in a fast-paced, changing environment. Strong proficiency in SQL (BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI. Exceptional verbal and written communication skills, including executive presentations. Familiarity with Agile methodologies and experience writing epics, user stories, and acceptance criteria. Understanding of data modeling concepts, ETL/ELT pipelines, data quality, and semantic layers is a plus. Experience with data governance, KPI definition, product success metrics, or self-service analytics is a strong advantage. Experience in retail, supply chain, or eCommerce is helpful but not required. This is not to be considered a complete list of job duties, as they may be amended or added to as needed. Projected Salary Range: $91000-$102,250 Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and makes all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 Supply Chain Support Family Dollar
