Responsibilities<br>• Develop and maintain high-performance SQL queries and stored procedures in SQL Server, DB2, and Azure SQL<br>• Design, optimize, and automate ETL processes for operational and logistics data<br>• Build integrations using RESTful APIs and structured data transfers between systems<br>• Create and manage Tableau dashboards to support operational insights and executive reporting<br>• Support TruckMate TMS data extractions and integrations across departments<br>• Manage and monitor automated workflows via GoAnywhere MFT<br>• Work with Salesforce data for syncing, reporting, and operational use<br>• Collaborate with operations, dispatch, and analytics teams to deliver data solutions<br>• Proactively improve SQL performance, eliminate bottlenecks, and ensure data accuracy<br>• Document technical processes, schema changes, and data flow logic<br>________________________________________<br>Requirements<br>• 4–5+ years of hands-on experience in a Data Engineer or similar data-heavy role<br>• Expert-level SQL skills — must be fluent with:<br>o Window functions<br>o CTEs<br>o Nested subqueries<br>o Index tuning<br>o Performance optimization<br>o Complex joins and aggregations<br>• Direct experience with:<br>o Microsoft SQL Server<br>• Experience with RESTful API development/integration (JSON, tokens, authentication, etc.)<br>• Proficiency in Tableau for building dashboards and visualizing operational data<br>• Experience working with TruckMate or similar transportation management systems<br>• Familiarity with GoAnywhere or other MFT platforms<br>• Working knowledge of Salesforce data structures and integration points<br>• Strong communication and documentation skills<br>• Ability to work independently and manage priorities in a production environment<br>________________________________________<br>Preferred Qualifications<br>• Background in logistics, transportation, or supply chain<br>• Experience in building data pipelines that support operations in real-time<br>• Comfortable troubleshooting across multiple database platforms
We are looking for an experienced Data Engineer to join our dynamic team in Wyoming, Michigan, for a Contract-to-Permanent position. In this role, you will play a key part in designing and managing data systems, developing data pipelines, and ensuring optimal data governance practices across multi-cloud environments. This position offers an exciting opportunity to contribute to cutting-edge healthcare data solutions while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Design and implement robust data architecture frameworks, including modeling, metadata management, and database security.<br>• Create and maintain scalable data models that support both operational and analytical needs.<br>• Develop and manage data pipelines to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Collaborate with various departments to translate business requirements into technical specifications.<br>• Monitor and optimize the performance of data assets, ensuring reliability and efficiency.<br>• Implement and enforce data governance policies, including data retention, backup, and security protocols.<br>• Stay updated on emerging technologies in data engineering, such as AI tools and cloud-based solutions, and integrate them into existing systems.<br>• Establish and track key performance indicators (KPIs) to measure the effectiveness of data systems.<br>• Provide mentorship and technical guidance to team members to foster a collaborative work environment.<br>• Evaluate and adopt new tools and technologies to enhance data capabilities and streamline processes.
We are seeking a Data Engineer to join our team based in Bethesda, Maryland. As part of our Investment Management team, you will play a crucial role in designing and maintaining data pipelines in our Azure Data Lake, implementing data warehousing strategies, and collaborating with various teams to address data engineering needs.<br><br>Responsibilities:<br><br>• Design robust data pipelines within Azure Data Lake to support our investment management operations.<br>• Implement effective data warehousing strategies that ensure efficient storage and retrieval of data.<br>• Collaborate with Power BI developers to integrate data reporting seamlessly and effectively.<br>• Conduct data validation and audits to uphold the accuracy and quality of our data pipelines.<br>• Troubleshoot pipeline processes and optimize them for improved performance.<br>• Work cross-functionally with different teams to address and fulfill data engineering needs with a focus on scalability and reliability.<br>• Utilize Apache Kafka, Apache Pig, Apache Spark, and other cloud technologies for efficient data visualization and algorithm implementation.<br>• Develop APIs and use AWS technologies to ensure seamless data flow and analytics.<br>• Leverage Apache Hadoop for effective data management and analytics.
<p><strong>Position: Data Engineer</strong></p><p><strong>Location: Des Moines, IA - HYBRID</strong></p><p><strong>Salary: up to $130K permanent position plus exceptional benefits</strong></p><p> </p><p><strong>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</strong></p><p> </p><p>Our clients is one of the best employers in town. Come join this successful organization with smart, talented, results-oriented team members. You will find that passion in your career again, working together with some of the best in the business. </p><p> </p><p>If you are an experienced Senior Data Engineer seeking a new adventure that entails enhancing data reliability and quality for an industry leader? Look no further! Our client has a robust data and reporting team and need you to bolster their data warehouse and data solutions and facilitate data extraction, transformation, and reporting.</p><p> </p><p>Key Responsibilities:</p><ul><li>Create and maintain data architecture and data models for efficient information storage and retrieval.</li><li>Ensure rigorous data collection from various sources and storage in a centralized location, such as a data warehouse.</li><li>Design and implement data pipelines for ETL using tools like SSIS and Azure Data Factory.</li><li>Monitor data performance and troubleshoot any issues in the data pipeline.</li><li>Collaborate with development teams to track work progress and ensure timely completion of tasks.</li><li>Implement data validation and cleansing processes to ensure data quality and accuracy.</li><li>Optimize performance to ensure efficient data queries and reports execution.</li><li>Uphold data security by storing data securely and restricting access to sensitive data to authorized users only.</li></ul><p>Qualifications:</p><ul><li>A 4-year degree related to computer science or equivalent work experience.</li><li>At least 5 years of professional experience.</li><li>Strong SQL Server and relational database experience.</li><li>Proficiency in SSIS, SSRS.</li><li>.Net experience is a plus.</li></ul><p> </p><p><strong>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *** </strong></p><p> </p>
We are looking for a skilled and experienced Senior Data Engineer to join our team in New York, New York. This role is ideal for someone who thrives on working with complex datasets, building scalable data solutions, and collaborating with cross-functional teams. If you have a passion for leveraging data to drive strategic decisions, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and maintain scalable data architectures to support business intelligence and analytics needs.<br>• Develop and optimize data pipelines and workflows for efficient data processing and integration.<br>• Collaborate with stakeholders to understand data requirements and translate them into actionable solutions.<br>• Leverage cloud platforms, such as AWS, Azure, or Google Cloud, to manage and enhance data infrastructure.<br>• Utilize Big Data technologies, including Apache Spark and Databricks, to process and analyze large datasets.<br>• Write efficient scripts and perform data manipulation using Python and other relevant programming languages.<br>• Ensure data quality and integrity by implementing robust validation and monitoring processes.<br>• Provide technical guidance and support to team members on best practices in data engineering.<br>• Stay updated on emerging data technologies and tools to continuously improve systems.<br>• Partner with API developers to integrate data systems and enable seamless data access.
We are looking for a Senior Data Engineer to join our team in New York, New York. In this role, you will be instrumental in designing, developing, and optimizing data pipelines and systems to support business needs. This position requires a strong technical background, a passion for clean coding practices, and expertise in data governance and orchestration.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using Python and Apache Spark, ensuring adherence to clean coding principles.<br>• Implement data governance practices, including data quality management and lineage tracking.<br>• Manage diverse data ingestion patterns to facilitate seamless integration of data sources.<br>• Utilize tools such as Apache Airflow for data orchestration and Docker or Kubernetes for containerization.<br>• Build and maintain CI/CD pipelines to streamline deployment processes.<br>• Collaborate with stakeholders to ensure accountability and entrepreneurialism in daily tasks.<br>• Apply knowledge of cloud platforms like Microsoft Azure and Databricks for advanced data solutions.<br>• Leverage experience with commodity and energy trading data to deliver business-focused insights.
<p><strong>Job Title: Data Engineer</strong></p><p><strong>Overview:</strong></p><p> We’re seeking a motivated Data Engineer with 1–5 years of experience to join our team. This role is perfect for someone with strong technical skills who enjoys building and optimizing data pipelines, working with modern cloud data tools, and collaborating in a fast-paced environment. Oil & Gas industry experience is a plus but not required.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain data pipelines to extract, transform, and load data.</li><li>Work with APIs to pull and integrate data from multiple sources.</li><li>Utilize Azure Data Factory (ADF), Fabric, or Databricks for data movement and transformation.</li><li>Store and model data in SQL and Snowflake.</li><li>Collaborate with team members to support reporting, dashboards, and business intelligence needs.</li></ul>
<p><strong>Position Summary </strong></p><p>We are seeking a skilled Data Engineer to design, implement, and maintain scalable data pipelines that support analytics and business intelligence initiatives. This role is critical to ensuring the availability, integrity, and quality of data across the organization. The ideal candidate will have a strong technical background in data engineering, excellent problem-solving abilities, and a collaborative mindset. You will be responsible for developing infrastructure for optimal data extraction, transformation, and loading (ETL) from various sources. This includes supporting cross-functional teams and maintaining high standards for data consistency and governance. </p><p><br></p><p><strong>Key Responsibilities: </strong></p><ul><li><strong></strong>Design and maintain scalable data pipelines using tools such as Azure Data Factory, Microsoft Fabric, PySpark, Spark SQL, and Python.</li><li>Develop solutions for integrating, processing, and analyzing large volumes of structured and unstructured data.</li><li>Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions.</li><li>Optimize and troubleshoot data pipelines for performance and reliability.</li><li>Implement data governance and security best practices to ensure compliance and integrity.</li><li>Monitor and maintain data infrastructure for scalability and availability.</li><li>Stay current with advancements in data engineering and cloud technologies.</li><li>Manage the data platform roadmap, including capacity planning and optimization.</li><li>Work with IT operations and BI vendors to resolve production issues.</li><li>Prioritize and manage stakeholder reporting needs and requirements.</li><li>Maintain vendor relationships to support platform evolution and capability expansion.</li><li>Address data issues, trace lineage, and implement cleansing and quality processes.</li><li>Ensure secure access to data sets and effective collaboration across teams.</li><li>Manage project schedules, milestones, and tollgate reviews.</li><li>Promote data literacy across the organization.</li><li>Submit weekly progress reports and follow IT directives and compliance policies.</li></ul><p><br></p>
<p>Position Summary</p><p>We are seeking a Data Engineer to build and maintain scalable data pipelines supporting analytics, BI, and AI initiatives.</p><p>Key Responsibilities</p><ul><li>Design and implement ETL/ELT pipelines using Databricks, Spark, or Azure Data Factory.</li><li>Build and maintain data lakes and warehouses.</li><li>Ensure data accuracy, quality, and security.</li><li>Collaborate with analysts and data scientists to provide analytics-ready datasets.</li><li>Monitor pipeline performance and optimize for scale.</li></ul><p><br></p>
<p>We are on the lookout for a Data Engineer in Basking Ridge, New Jersey. (1-2 days a week on-site*) In this role, you will be required to develop and maintain business intelligence and analytics solutions, integrating complex data sources for decision support systems. You will also be expected to have a hands-on approach towards application development, particularly with the Microsoft Azure suite.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Develop and maintain advanced analytics solutions using tools such as Apache Kafka, Apache Pig, Apache Spark, and AWS Technologies.</p><p>• Work extensively with Microsoft Azure suite for application development.</p><p>• Implement algorithms and develop APIs.</p><p>• Handle integration of complex data sources for decision support systems in the enterprise data warehouse.</p><p>• Utilize Cloud Technologies and Data Visualization tools to enhance business intelligence.</p><p>• Work with various types of data including Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, and Discovery Data.</p><p>• Maintain familiarity with key industry best practices in a regulated “GXP” environment.</p><p>• Work with commercial pharmaceutical/business information, Supply Chain, Finance, and HR data.</p><p>• Leverage Apache Hadoop for handling large datasets.</p>
<p>We are seeking a <strong>Data Systems Engineer</strong> to manage and optimize logistics and operations data environments. This role combines SQL development, API integrations, and dashboard support to ensure data systems run efficiently and reliably across multiple platforms.</p>
<p>We are seeking a <strong>Data Solutions Engineer</strong> to deliver scalable data solutions for logistics and operations. This role requires expertise in SQL development, API integrations, and dashboard creation, with a focus on building reliable solutions that improve efficiency and decision-making.</p>
<p>We are seeking an <strong>Operations Data Engineer</strong> to support real-time logistics and operational data needs. This role involves writing optimized SQL, integrating data across systems, and building dashboards that help operations and dispatch teams make fast, informed decisions.</p>
We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
We are looking for an experienced Data Scientist / AI Engineer to join our team in Raleigh, North Carolina. This Contract-to-permanent position offers an exciting opportunity to work on cutting-edge projects involving machine learning, artificial intelligence, and advanced data solutions. The ideal candidate will bring a strong technical background, innovative problem-solving skills, and a passion for leveraging data to drive impactful results.<br><br>Responsibilities:<br>• Design and implement complex Python applications, ensuring scalability and reliability.<br>• Develop and optimize machine learning models, including those based on large language models (LLMs).<br>• Utilize serverless architectures and Amazon Web Services (AWS) to build and deploy data solutions.<br>• Work with chains and vector databases to solve multifaceted problems and enhance data processing capabilities.<br>• Perform ETL processes to transform and load data efficiently while maintaining data integrity.<br>• Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.<br>• Analyze large datasets to extract actionable insights and build predictive models.<br>• Maintain and improve existing data pipelines and frameworks to ensure optimal performance.<br>• Stay updated on emerging trends in AI and machine learning to incorporate best practices into projects.
<p><strong>Position Description</strong></p><p> We are seeking an <strong>Analytics Engineer</strong> to bridge operations data with actionable insights. The role involves designing SQL-based data pipelines, integrating systems through APIs, and creating Tableau dashboards that drive decision-making. The Analytics Engineer will ensure data accuracy and reliability across logistics and operations platforms.</p>
<p><strong>QA Automation Engineer </strong></p><p><strong>Hybrid onsite in Woodland Hills, Los Angeles, CA</strong></p><p><strong>Position Summary</strong></p><p>We are seeking a skilled <strong>QA Automation Engineer</strong> to join our dynamic team in Woodland Hills, CA. This is a <strong>hybrid position requiring 3 days per week onsite</strong>, where you will play a critical role in establishing and maintaining a robust Quality Assurance process. This is an exciting opportunity to take full ownership of QA processes, with a focus on both manual and automated testing.</p><p><strong>Compensation</strong></p><ul><li><strong>Base Salary</strong>: $110,000 - $130,000</li><li>Discretionary Bonus and Competitive Benefits</li></ul><p><br></p>
<p> We are seeking a <strong>Data Integration Engineer</strong> to design, build, and maintain integrations across logistics and operations systems. This role emphasizes SQL development, RESTful API integrations, and workflow automation to enable seamless, accurate data flow between platforms.</p>
We are looking for an experienced SCADA Engineer III to join our team in Allentown, Pennsylvania. This is a long-term contract position that offers the opportunity to contribute to critical substation projects while working in a hybrid or fully remote environment, depending on candidate qualifications. The ideal candidate will leverage their expertise in computer engineering, communication protocols, and SCADA systems to support the design and troubleshooting of substation communication networks.<br><br>Responsibilities:<br>• Develop configuration settings for substation projects, adhering to established organizational standards.<br>• Create and refine point assignment sheets in collaboration with substation design engineers.<br>• Apply communication standards set by network engineers to ensure seamless integration into substation designs.<br>• Diagnose and resolve data and communication issues in coordination with system operators and Relay Test personnel.<br>• Utilize programming languages, including PLC ladder logic and Lua, to optimize control systems.<br>• Analyze and interpret network topology to support substation communication frameworks.<br>• Ensure effective data exchange between devices by implementing communication protocols.<br>• Support supervisory control and data acquisition (SCADA) systems through design, review, and troubleshooting efforts.<br>• Utilize spreadsheets and related tools to organize and manage project data.<br>• Maintain compliance with organizational and industry standards in all engineering tasks.
We are looking for a skilled Data Warehouse Engineer to join our team in Malvern, Pennsylvania. This Contract-to-Permanent position offers the opportunity to work with cutting-edge data technologies and contribute to the optimization of data processes. The ideal candidate will have a strong background in Azure and Snowflake, along with experience in data integration and production support.<br><br>Responsibilities:<br>• Develop, configure, and optimize Snowflake-based data solutions to meet business needs.<br>• Utilize Azure Data Factory to design and implement efficient ETL processes.<br>• Provide production support by monitoring and managing data workflows and tasks.<br>• Extract and analyze existing code from Talend to facilitate system migrations.<br>• Stand up and configure data repository processes to ensure seamless performance.<br>• Collaborate on the migration from Talend to Azure Data Factory, providing expertise on best practices.<br>• Leverage Python scripting to enhance data processing and automation capabilities.<br>• Apply critical thinking to solve complex data challenges and support transformation initiatives.<br>• Maintain and improve Azure Fabric-based solutions for data warehousing.<br>• Work within the context of financial services, ensuring compliance with industry standards.
<p>Description</p><p><br></p><p>We are seeking a Data Modeler & Platform Architect to design, validate, and optimize data models that support our organization’s analytics, reporting, and operational data needs. The ideal candidate will have experience working in Snowflake, dbt, data observability, DataOps, and DevOps, supporting our cloud-based data strategy and modernization efforts. Performs all duties in accordance with the Company’s policies and procedures, all U.S. state and federal laws and regulations, wherein the Company operates.</p><p><br></p><p>Data Modeling</p><ul><li>Work with functional business owners to understand business process and data elements that tie to the process.</li><li>Design conceptual models to showcase the entities/ data elements and relationships.</li><li>Design models in 3NF, Star schema and snowflake schema as appropriate.</li><li>Design, build, and maintain conceptual, logical, and physical data models to support analytics, reporting, and operational workloads.</li><li>Ensure dimensional and relational data models support data warehousing and self-service analytics.</li><li>Develop and optimize data structures in Snowflake DB to ensure performance, scalability, and business alignment.</li><li>Utilize dbt to build and manage transformations for clean, structured, and reusable data models.</li><li>Conduct POCs to evaluate new tools, methodologies, and modeling techniques to improve performance, efficiency, and scalability</li><li>Establish and enforce data standards, governance, and best practices for data across the organization.</li><li>Ensure data models comply with regulatory, security, and compliance requirements.</li></ul><p>Platform Architecture</p><ul><li>Design and implement small-scale prototypes and evaluations to test approaches for data modeling, performance running, and architecture improvements.</li><li>Assess and compare data modeling techniques, integration strategies, and observability tools to recommend the best solutions for the enterprise.</li><li>Work closely with data engineering and analytics teams to assess new methodologies before full-scale implementation.</li><li>Document findings from evaluations and provide technical guidance on their adoption.</li><li>Implement data observability tools to monitor data health, lineage, and anomalies across pipelines.</li><li>Integrate DataOps principles to automate data quality checks, validation, and governance processes.</li><li>Work with DevOps teams to ensure CI/CD pipelines support automated deployments and version control for data models.</li><li>Define and enforce data validation, monitoring, and alerting mechanisms to proactively address issues before they impact stakeholders.</li><li>Work with data engineers, BI teams, and application developers to optimize data structures for various use cases.</li><li>Collaborate with data governance teams to define metadata, lineage, and data quality standards.</li><li>Provide technical guidance on data modeling, DataOps, and best practices for data architecture.</li><li>Evaluate and recommend modern data modeling tools and methodologies to improve efficiency and scalability.</li><li>Stay up-to-date on industry trends and cloud data technologies to enhance data architecture.</li><li>Support the data foundation initiative, contributing to the modernization of enterprise data platforms</li></ul>
We are looking for an experienced Lead Software Engineer to join our team in Philadelphia, Pennsylvania. In this role, you will play a pivotal part in maintaining and enhancing our software systems, ensuring their reliability and scalability. This position offers an opportunity to lead a small development team, collaborate with stakeholders, and contribute to the technical evolution of our applications.<br><br>Responsibilities:<br>• Analyze and document existing software packages, reports, applications, and stored procedures to ensure a thorough understanding of critical business operations.<br>• Monitor and maintain the stability of legacy codebases and data processes, promptly identifying and resolving production issues.<br>• Lead responses to stakeholder requests for new features, workflows, or data services while ensuring compatibility with current system architecture.<br>• Design and implement system enhancements or new components, integrating them seamlessly into existing infrastructure.<br>• Mentor and guide team members by conducting code reviews, sharing best practices, and promoting maintainable development standards.<br>• Collaborate with the Data Team to optimize query performance, stored procedures, and data integrations for maximum system efficiency.<br>• Work closely with business users to translate technical requirements into functional solutions that align with operational goals.<br>• Identify and manage technical debt, developing plans that balance business priorities and system risks.<br>• Contribute to the improvement of documentation standards, deployment procedures, and system monitoring processes to ensure sustainable application management.
<p>Position Summary</p><p>We’re looking for a Sr. SQL developer, responsible for solving complex data and workflow challenges and building tools that directly impact production, fulfillment, and reporting systems. You’ll work closely with cross-functional teams to design, develop, and support custom software solutions that drive operational efficiency and scalability.</p><p><br></p><p>Top Responsibilities</p><ol><li>Design & Develop Custom Solutions: Build and maintain Windows-based and web applications that integrate with production systems, inventory tools, and third-party platforms.</li><li>Data Engineering & Automation: Create data workflows using SQL Server, SSIS, and other tools to automate print production, reporting, and invoicing processes.</li><li>System Integration: Develop interfaces with devices and systems such as barcode scanners, shipping tools, and ERP platforms.</li><li>Project Collaboration: Partner with technical leads and account managers to define project goals, test solutions, and ensure successful deployment.</li><li>Mentorship & Support: Guide junior developers and provide ongoing support for deployed applications, including training and documentation.</li></ol>
<p>We are seeking a highly skilled Data Governance & Catalog Specialist to lead the implementation and optimization of cloud-based data catalog and quality tools. This role will support enterprise data governance initiatives, compliance reporting, and dashboard development for various business personas.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Implement cloud-based data catalog tools for metadata ingestion and data quality profiling</li><li>Build domain/sub-domain level data governance dashboards and quality reports</li><li>Develop and demonstrate dashboards for roles such as Data Owner, Data Steward, Data Engineer, and Data Privacy Officer</li><li>Collaborate with cross-functional teams including business data owners, stewards, architects, platform owners, and project managers</li><li>Set up and run Informatica CDGC scanners, profiling, and sampling</li><li>Support PII classification using AI-based tools (e.g., CLAIRE Gen AI)</li><li>Produce audit reports for compliance with SOX, CCPA, and other legal requirements</li><li>Define and operationalize governance councils using catalog tools and processes</li></ul><p><br></p>
<p>We are seeking a strategic and technically savvy Data Product Manager to lead the definition, roadmap, and delivery of data products that support financial planning, operations, and reporting. This role will work closely with business stakeholders, data engineers, and analytics teams to deliver scalable, secure, and innovative data solutions.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Own the end-to-end product lifecycle for finance-focused data products</li><li>Translate business needs into clear, actionable product requirements</li><li>Collaborate with data engineering teams to guide ingestion, transformation, and modeling of financial and operational datasets</li><li>Lead the design and delivery of dashboards, reporting tools, and analytics products using Tableau, Power BI, or similar platforms</li><li>Conduct stakeholder demos, roadmap reviews, and backlog grooming aligned with Agile practices</li><li>Build strong relationships with technical teams and business stakeholders to ensure alignment and value delivery</li></ul><p><br></p>
