7 results for Data Scientist Manager in Dallas, TX

Data and Analytics Manager

Dallas, TX
onsite
Temporary
75 - 85 USD / Hourly
We are looking for an experienced Data and Analytics Manager to lead master data management initiatives within our organization. This role involves developing and implementing data governance policies and procedures to ensure accuracy, consistency, and reliability across all systems. As a long-term contract position based in Dallas, Texas, this opportunity offers the chance to collaborate with cross-functional teams and lead efforts to optimize data processes. Responsibilities: • Develop and oversee master data governance standards to ensure data accuracy, consistency, and reliability. • Collaborate with stakeholders across departments to communicate business processes and data requirements. • Approve and process requests for creating or modifying master data while auditing completed mappings for quality assurance. • Lead a team of mapping specialists, allocating resources effectively and ensuring adherence to timelines and priorities. • Create and maintain documentation to support team training and mapping verification processes. • Monitor and audit team performance to ensure consistent quality and address knowledge gaps. • Coordinate updates and progress reports for organizational collaboration meetings, ensuring alignment with business goals. • Proactively communicate with stakeholders, providing regular updates on team efforts, challenges, and achievements. • Review and analyze source data processes to ensure a thorough understanding of data mapping requirements. • Track changes to IT architecture and processes to assess impacts on data usage and quality.
2026-03-10T00:00:00Z

Manager - Data Analytics and Reporting

Frisco, TX
onsite
Permanent
120000 - 150000 USD / Yearly
We are seeking an experienced and forward-thinking Data & Analytics Manager to lead our data initiatives, guide a technical team, and drive the development of modern reporting, analytics, and governance capabilities. This role is ideal for a hands-on leader who thrives in a fast-paced environment and is passionate about leveraging data to support strategic decision-making. Key Responsibilities• Lead, mentor, and develop a team of data and analytics professionals, fostering a collaborative and high-performance environment.• Oversee the design, development, and maintenance of data warehouses, reporting platforms, and integration pipelines.• Drive adoption and utilization of Microsoft Fabric, ensuring scalable and reliable data solutions.• Implement and champion data governance standards, analytics best practices, and documentation processes.• Collaborate with business stakeholders to understand requirements and translate them into effective technical solutions.• Evaluate and optimize BI tools, cloud platforms, and analytics technologies to support evolving business needs.• Review and interpret complex technical documentation to troubleshoot and resolve issues.• Support regulatory, audit, and compliance expectations related to data management (preferred experience with regulated industries).• Oversee and enhance reporting environments, including potential utilization of Zoho Analytics.• Manage multiple concurrent initiatives while maintaining clear priorities and timelines.
2026-03-16T00:00:00Z

Data Engineer

Dallas, TX
onsite
Permanent
135000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities. Responsibilities: • Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics. • Develop and maintain efficient data models tailored for AI, analytics, and operational systems. • Lead Master Data Management initiatives to establish unified and accurate data records across platforms. • Create batch and near-real-time data processing workflows for structured and semi-structured datasets. • Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning. • Define and enforce data architecture standards, ensuring scalability, reliability, and governance. • Troubleshoot and optimize data systems to maintain performance and reliability in complex environments. • Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
2026-03-11T00:00:00Z

Data Engineer

Denton, TX
onsite
Permanent
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-03-20T00:00:00Z

Manager of Data Analytics and Costing

Fort Worth, TX
onsite
Permanent
0 - 0 USD / Yearly
We are looking for an experienced Manager of Data Analytics and Costing to join our team in Fort Worth, Texas. This role is essential in driving financial planning, analysis, and costing accuracy within the organization. The ideal candidate will have a strong background in manufacturing cost structures, financial modeling, and team leadership, with a focus on delivering actionable insights and fostering process improvements. Responsibilities: • Lead financial planning processes, including budgeting, monthly forecasting, and long-range planning, ensuring alignment with organizational goals. • Conduct detailed variance analyses to compare actual financial results with budgets and forecasts, providing actionable insights and recommendations. • Develop and maintain predictive financial models to support strategic decision-making and scenario planning. • Oversee product and job costing validation processes to ensure accuracy and alignment with operational realities. • Collaborate with operations, production, and supply chain teams to analyze manufacturing variances and identify opportunities for cost savings. • Create and deliver comprehensive management reports and dashboards using advanced tools such as Excel and Power BI. • Implement predictive analytics techniques to anticipate cost trends and mitigate financial risks. • Present financial data and complex analyses in a clear, concise manner for diverse stakeholders, including senior management. • Lead and mentor a team of financial analysts and cost accountants, fostering growth and accountability. • Champion best practices in data analytics and costing, driving continuous improvement across the organization.
2026-03-20T00:00:00Z

Data/Information Architect

Dallas, TX
onsite
Permanent
200000 - 220000 USD / Yearly
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services. Key Responsibilities Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing). Develop and communicate AI roadmaps, future-state architectures, and design artifacts. Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms. Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis. Experiment with and fine-tune LLMs, train custom models, and assess performance metrics. Perform data exploration, cleansing, and feature engineering to prepare datasets for model training. Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows. Continuously scan industry innovations and apply emerging AI/ML technologies to business problems. What We’re Looking For Strong technical and business acumen in creating technology-driven solutions. Passion for experimenting with and adopting emerging AI/ML technologies. Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences. Proven ability to balance timeliness, cost, and quality in solution design. Experience leading digital transformation, target operating models, and performance improvement initiatives. Qualifications Bachelor’s degree in STEM or related field (MBA a plus). 5+ years in AI/ML solution architecture, prototyping, and experimentation. 5+ years working with AWS and/or Azure data, analytics, and AI services. 3+ years of experience with data science tools and frameworks. Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms. Knowledge of cloud-native services (data storage, compute, networking, security). Strong understanding of statistical methods, data preprocessing, and feature engineering.
2026-02-24T00:00:00Z

Business Analyst

Dallas, TX
onsite
Permanent
0 - 0 USD / Yearly
We are looking for a detail-oriented Business Analyst to join our team in Dallas, Texas. In this role, you will bridge the gap between business needs and technical solutions by gathering requirements, analyzing data, and supporting system workflows. Your expertise in documentation and communication will be instrumental in ensuring project success across multiple teams. Responsibilities: • Gather, document, and organize business requirements to support project goals. • Develop user stories, acceptance criteria, and use cases to guide system development. • Create and maintain workflow diagrams, data flow diagrams, and business rules documentation. • Perform data validation and reconciliations using tools such as Excel. • Verify business rules against system data and assist in creating data dictionaries. • Acquire knowledge of system workflows and document end-to-end processes. • Collaborate with stakeholders across Clinical, Pharma, Operations, and IT teams to facilitate requirements meetings. • Draft detailed meeting notes, track open questions, and coordinate follow-ups. • Assist in creating and executing test plans, logging defects, and validating fixes. • Support go-live activities by ensuring system readiness and defect resolution.
2026-03-02T00:00:00Z