We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
We are looking for a detail-oriented Data Analyst to support long-term research and data validation initiatives in New York, New York. This is a Long-term Contract position focused on building reliable company intelligence through careful analysis of corporate structures, ownership relationships, and transaction activity. The ideal candidate will combine strong investigative research skills with a disciplined approach to data accuracy, organization, and consistency across complex datasets.<br><br>Responsibilities:<br>• Investigate public and internal information sources to compile organized records of companies, related entities, and corporate affiliates.<br>• Clean and align company names, identifiers, and reporting structures so information remains consistent across datasets.<br>• Map ownership connections by documenting parent organizations, subsidiaries, and other entity relationships.<br>• Examine corporate events such as mergers, acquisitions, divestitures, and reorganizations to capture relevant transaction details.<br>• Review and interpret data from multiple sources, then sort, filter, and refine findings according to defined research criteria.<br>• Perform validation checks to confirm records are accurate, complete, and formatted to established standards.<br>• Identify unclear, missing, or conflicting information and escalate items that require additional research or clarification.
We are looking for a Database Administrator to join a contract opportunity with the potential to become permanent, based in Wayne, Pennsylvania. This position supports a mixed enterprise data environment that includes Oracle/Lawson, Snowflake, AWS-based data services, and Drupal/Acquia platforms. The role is ideal for someone who can balance core database administration with data integration, reporting support, and cloud platform optimization. You will play a key part in keeping business-critical data dependable, secure, and well-structured for operational and analytical use.<br><br>Responsibilities:<br>• Oversee the day-to-day administration of Oracle/Lawson databases, including performance monitoring, backup coordination, recovery planning, and platform maintenance.<br>• Partner with technical teams to support database needs for application updates, system enhancements, and production issue resolution.<br>• Administer and improve Snowflake environments by refining data models, tuning workloads, and supporting scalable reporting structures.<br>• Build and maintain AWS-based data pipelines using services such as S3, Lambda, and Glue to move and transform enterprise data efficiently.<br>• Create and support integration processes across multiple business systems, with a focus on data validation, transformation, reconciliation, and consistency.<br>• Prepare and organize Drupal/Acquia data for reporting, analytics, and downstream consumption by dashboards or business intelligence tools.<br>• Validate migrated and integrated data to ensure completeness, accuracy, and alignment with business rules.<br>• Develop complex SQL solutions to support data extraction, transformation, and reporting requirements across legacy and cloud platforms.<br>• Document data movement, integration logic, and governance practices to improve transparency, quality, and long-term supportability.
We are looking for an experienced Network Architect to join a team in a contract-to-permanent capacity. This role focuses on designing, supporting, and improving core infrastructure across servers, cloud services, identity platforms, and enterprise networking. The ideal candidate brings a strong technical foundation in Microsoft environments, virtualization, and network security, along with the ability to diagnose complex issues and build reliable solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain Windows Server environments to support stable and secure business operations.<br>• Lead server installation, configuration, and ongoing optimization for on-premises and virtual infrastructure.<br>• Administer identity and access services across Active Directory, Azure / Entra ID, and related IAM solutions.<br>• Manage and support Microsoft 365 services, ensuring effective configuration, performance, and user access.<br>• Oversee virtualization platforms such as VMware and Hyper-V to improve system availability and resource utilization.<br>• Configure and troubleshoot network components including switches, routing, VLANs, and Layer 2 / Layer 3 connectivity.<br>• Maintain firewall rules and security configurations while resolving connectivity and access issues across the environment.<br>• Perform advanced network diagnostics to identify root causes, restore service quickly, and strengthen infrastructure resilience.<br>• Collaborate on architecture initiatives involving cloud platforms, application connectivity, and API-driven integrations where needed.
A leading infrastructure and transportation group is seeking an Enterprise Architect to serve as the design authority across three core pillars: Data Engineering, Application Development, and ERP (JD Edwards), as well as the integration landscape connecting them. This strategic role establishes target-state architectures, integration patterns, and governance frameworks, bridging local execution with global group IT strategy. Depth in at least one pillar with the technical breadth and curiosity to cover the rest is required. <br> RESPONSIBILITIES Architecture & Standards: Establish target-state architectures, reference models, and design patterns across Data, AppDev, and ERP domains. Publish "golden paths" to streamline delivery. Integration & Governance: Define integration strategy (APIs, event-driven/batch patterns, service buses, master data flows). Own enterprise data governance, data domains, policies, and quality standards. AI & Self-Service Governance: Design governance models for AI agents, machine consumers (identity, entitlements, auditability), and citizen-developed/low-code business solutions. Architecture Assurance & Advisory: Chair architecture reviews, lead build-vs-buy evaluations, and sequence technical debt remediation into practical roadmaps without micromanaging delivery. Influence & Alignment: Maintain technology watches to evaluate innovations, publish Architecture Decision Records (ADRs), and align local standards with parent group digital functions.
<p>We are looking for an experienced Solutions Architect to support enterprise-level telecom strategy and solution design in Philadelphia, Pennsylvania. This is a long-term contract position focused on shaping scalable, secure, and integrated architecture across complex network, platform, and software environments. The role partners with technical teams to evaluate current-state capabilities, define architecture direction, and guide implementation decisions that align with business priorities.</p><p><br></p><p>Responsibilities:</p><p>• Lead enterprise architecture planning and recommend technical priorities that support long-term business and infrastructure goals.</p><p>• Define and promote architecture standards, design principles, and technical guidelines for integrated technology solutions across networks, platforms, and applications.</p><p>• Assess existing applications to identify modernization opportunities, operational risks, cost considerations, and performance improvements.</p><p>• Provide documented recommendations on infrastructure options that can be used as applications are modernized, re-architected with specific focus on determining how applications can migrate to Kubernetes and other cloud based infrsstructure. </p><p>• Create architecture frameworks, reference models, and documentation to support the rollout of revised technical standards and cross-system integration efforts.</p><p>• Contribute to the development and oversight of architecture governance practices to ensure solution consistency, compliance, and design quality.</p><p>• Provide senior-level technical direction to project teams during planning, design, implementation, and optimization activities.</p><p>• Evaluate solution options by balancing security, scalability, interoperability, and business impact across enterprise environments.</p><p>• Monitor emerging telecom and infrastructure technologies to recommend innovations that strengthen the organization’s architecture strategy.</p>
We are looking for an experienced Solutions Architect to lead the design of scalable technology solutions that support distribution and logistics operations in North Brunswick, New Jersey. This role will connect business needs with practical system architecture, with a strong focus on enterprise integrations, cloud-enabled platforms, and operational technology improvements. The ideal candidate brings deep technical expertise, strong collaboration skills, and the ability to guide initiatives from solution design through successful deployment.<br><br>Responsibilities:<br>• Design and implement integrations across internal applications and external partner systems using APIs, middleware, and event-driven patterns.<br>• Create technical solutions that support customer onboarding by connecting enterprise platforms with customer and supply chain applications.<br>• Work closely with vendors, partners, and internal teams to establish dependable data exchange processes and resolve integration challenges.<br>• Contribute hands-on development and configuration work to deliver architecture designs in alignment with technical specifications and project goals.<br>• Partner with operations, transportation, customer service, distribution, and finance teams to identify process improvements and apply technology-driven solutions.<br>• Support the enhancement and rollout of logistics platforms, including warehouse, yard, labor, and transportation-related systems.<br>• Architect cloud and hybrid environments in collaboration with infrastructure and cybersecurity teams to strengthen availability, resilience, and continuity.<br>• Provide technical leadership by reviewing solution designs, advising delivery teams, and promoting sound architecture standards and best practices.<br>• Embed security considerations such as access control, encryption, monitoring, and auditability into solution designs while participating in risk and compliance reviews.<br>• Assist with software evaluations, vendor selection activities, project planning, and prioritization of technology initiatives across the business.
We are looking for an experienced Sr. Business Intelligence Architect to shape and advance enterprise reporting and analytics capabilities for a higher education environment in Philadelphia, Pennsylvania. This role will guide the design of secure, scalable data solutions, partner closely with technical and business stakeholders, and help establish strong standards for business intelligence delivery. The ideal candidate brings deep expertise in Microsoft BI technologies, a strategic mindset for architecture, and a proven background leading business intelligence excellence across an organization.<br><br>Responsibilities:<br>• Architect enterprise-scale BI and analytics solutions using Microsoft Fabric technologies, including OneLake, Data Factory, Synapse, and Power BI.<br>• Build, refine, and support data models, ingestion workflows, and semantic structures that enable reliable analysis and reporting.<br>• Direct major data platform enhancement efforts, including initiatives involving modernization and migration to Microsoft Fabric.<br>• Work closely with analysts, engineers, and business partners to convert reporting goals into practical data architecture designs.<br>• Establish governance, design standards, and best practices to improve the quality, security, and scalability of BI solutions.<br>• Lead and mentor business intelligence teams or center-of-excellence functions to strengthen delivery consistency and technical capability.<br>• Develop reporting frameworks and dashboard strategies that provide stakeholders with clear, actionable insights.<br>• Evaluate existing BI environments and recommend architectural improvements that increase performance and long-term maintainability.
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains. <br> experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling <br> RESPONSIBILITIES Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards. Build & Migration: Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader. Platform Operations: Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs. Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics. Partner & Legacy Management: Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.
We are looking for a detail-oriented analyst to support quality oversight and speech analytics initiatives for a compliance-focused environment in Fort Washington, Pennsylvania. This Long-term Contract position will partner with business teams to turn call data into actionable insights, strengthen audit readiness, and improve monitoring programs. The role is well suited for someone who combines analytical thinking, strong communication skills, and hands-on experience with reporting tools and post-call review platforms.<br><br>Responsibilities:<br>• Design and refine speech and keyword searches that help uncover trends, exceptions, and potential compliance concerns within recorded interactions.<br>• Partner with cross-functional stakeholders to evaluate business processes, review audit selections, and recommend practical improvements based on findings.<br>• Lead conversations with managers and operational teams to clarify updates, reinforce expectations, and support adoption of revised procedures.<br>• Produce monitoring results and analytic insights that contribute to training materials and enterprise-wide education efforts.<br>• Maintain organized records and classification structures to support data accuracy, traceability, and dependable system performance.<br>• Prepare recurring and ad hoc reports, assist with workflow reviews, and document observations from quality and compliance audits.<br>• Investigate recurring issues by performing root cause analysis and identifying drivers behind underperforming categories or trends.<br>• Support internal departments with monthly audit activities, audit response coordination, and follow-up actions tied to findings.<br>• Collaborate with analysts on reporting enhancements, dashboard development, and data visualization improvements using tools such as Tableau.<br>• Provide day-to-day guidance to less experienced team members and serve as a knowledgeable resource for analytics and quality-related questions.
<p>We are looking for a motivated Business Analyst. This Long-term Contract opportunity is well suited for an early-career candidate who can translate business needs into clear project documentation and help keep cross-functional work on track. The role offers the chance to collaborate with both internal stakeholders and technical partners while contributing to the delivery of customer-focused digital solutions.</p><p><br></p><p>Responsibilities:</p><p>• Gather and clarify business needs from stakeholders to help define priorities for eCommerce and digital product work.</p><p>• Create organized documentation such as user stories, process notes, and project materials that support accurate execution.</p><p>• Write and maintain Jira tickets with clear acceptance criteria so development teams can move work forward efficiently.</p><p>• Coordinate communication across business teams, technical resources, and external partners to keep initiatives aligned.</p><p>• Review workflows and identify gaps, risks, or process improvement opportunities that may affect project outcomes.</p><p>• Assist Agile Scrum activities by supporting backlog updates, status tracking, and follow-up on action items.</p><p>• Monitor project details and timelines to help ensure deliverables are completed according to expectations.</p><p>• Provide document review and business support for digital initiatives, including work connected to operational or platform changes when needed.</p>
We are looking for a Business Analyst to join a contract opportunity with a path to a permanent role supporting supply chain and finance initiatives in Wayne, Pennsylvania. This position offers broad exposure to operational workflows, client connectivity efforts, enterprise applications, and innovative AI-driven business solutions. The ideal candidate will partner with stakeholders across business and technical teams to clarify needs, improve processes, and help drive successful project outcomes.<br><br>Responsibilities:<br>• Partner with senior analysts and cross-functional teams to support initiatives related to client setup, application rollouts, systems integration, and workflow enhancement.<br>• Elicit, organize, and document business and functional needs so stakeholders and technical teams share a clear understanding of project goals.<br>• Act as a central point of coordination among internal users, operations staff, external clients, vendors, and technology teams to keep work aligned and moving forward.<br>• Convert operational challenges and business objectives into practical, well-defined requirements that guide solution planning and execution.<br>• Facilitate user acceptance testing activities by preparing test scenarios, tracking outcomes, and investigating issues when results do not match expectations.<br>• Oversee several assignments at once while maintaining strong attention to detail, accurate documentation, and consistent follow-through.<br>• Analyze both day-to-day process details and larger business objectives, asking thoughtful questions to uncover gaps, risks, or incorrect assumptions.<br>• Contribute to projects involving supply chain operations, finance-related processes, and emerging AI applications where business value can be improved.
We are looking for a Digital Strategist to shape and elevate digital messaging for a telecom services organization in New York, New York. This Long-term Contract position is ideal for someone who is detail oriented and can combine strategic thinking with strong writing skills to create compelling content across multiple digital channels. The successful candidate will help drive audience engagement by aligning copy, campaigns, and content initiatives with broader business goals.<br><br>Responsibilities:<br>• Develop digital content strategies that support marketing objectives and strengthen brand presence across online platforms.<br>• Create persuasive copy for campaigns, advertisements, and email communications tailored to target audiences.<br>• Plan and refine messaging frameworks to ensure consistency across digital channels and customer touchpoints.<br>• Collaborate with cross-functional teams to turn business priorities into effective content and campaign plans.<br>• Review content performance and recommend adjustments that improve engagement, clarity, and conversion outcomes.<br>• Manage content calendars and coordinate timely delivery of digital assets for ongoing initiatives.<br>• Produce audience-focused written materials that reflect campaign goals while maintaining a clear brand voice.
We are looking for a Digital Strategist to shape and elevate digital messaging for a Telecom Services organization in New York, New York. This Long-term Contract position focuses on developing compelling content strategies across digital channels, with a strong emphasis on persuasive writing and audience engagement. The ideal candidate brings a thoughtful approach to campaign planning, content development, and performance-driven communication that supports broader marketing objectives.<br><br>Responsibilities:<br>• Develop and refine digital strategy initiatives that strengthen brand presence and support campaign goals across online platforms.<br>• Create persuasive copy for digital campaigns, including advertisements, email communications, and other audience-facing content.<br>• Plan content approaches that align messaging with target audiences, channel best practices, and business priorities.<br>• Collaborate with marketing and cross-functional stakeholders to deliver cohesive digital experiences and maintain consistent voice across campaigns.<br>• Evaluate content effectiveness and adjust messaging strategies to improve engagement, response rates, and overall performance.<br>• Manage the development of digital content assets while ensuring quality, clarity, and alignment with campaign objectives.