<p>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. </p>
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making and enhance business intelligence processes. In this long-term contract role, you will play a key part in analyzing complex datasets and providing actionable insights to drive organizational success. The position is based in Arlington, Texas.<br><br>Responsibilities:<br>• Conduct detailed data analysis to identify patterns, trends, and actionable insights.<br>• Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies.<br>• Perform audits of commercial contracts to ensure compliance and accuracy.<br>• Abstract and analyze key terms from contracts to support decision-making.<br>• Collaborate with cross-functional teams to gather data requirements and optimize analytics processes.<br>• Utilize advanced data analytics tools to process and interpret large datasets.<br>• Provide recommendations to improve business operations based on data findings.<br>• Ensure the integrity and security of data used for analysis and reporting.<br>• Support the organization in leveraging data for strategic planning and forecasting.
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.<br><br>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.<br><br>Key Responsibilities<br><br>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).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Gather, document, and organize business requirements to support project goals.</p><p>• Develop user stories, acceptance criteria, and use cases to guide system development.</p><p>• Create and maintain workflow diagrams, data flow diagrams, and business rules documentation.</p><p>• Perform data validation and reconciliations using tools such as Excel.</p><p>• Verify business rules against system data and assist in creating data dictionaries.</p><p>• Acquire knowledge of system workflows and document end-to-end processes.</p><p>• Collaborate with stakeholders across Clinical, Pharma, Operations, and IT teams to facilitate requirements meetings.</p><p>• Draft detailed meeting notes, track open questions, and coordinate follow-ups.</p><p>• Assist in creating and executing test plans, logging defects, and validating fixes.</p><p>• Support go-live activities by ensuring system readiness and defect resolution.</p><p><br></p><p>If interested, please send your resume to [email protected]</p>
We are looking for a skilled Software Engineer to join our team in the Plano/ Richardson, Texas. In this role, you will focus on crafting server-side components while contributing to the development and optimization of AI-driven tools and workflows. This position offers an exciting opportunity to work in an agile environment, drive innovation, and enhance engineering efficiency using cutting-edge technologies. Must be must be eligible to work in the U.S. or Permanent Resident. <br> Responsibilities: • Design and implement high-quality server-side components that align with business needs and architectural standards. • Develop and refine AI-driven coding tools, workflows, and infrastructure to improve engineering consistency and efficiency. • Create and optimize coding agents, prompts, and workflows to streamline development processes. • Integrate tools and plugins into a cohesive development pipeline that enhances productivity. • Enable specification-driven development by leveraging AI for idea generation, implementation, and validation. • Build and maintain unit, integration, and automation tests to ensure software reliability and performance. • Troubleshoot and enhance existing applications while collaborating with stakeholders to identify improvement opportunities. • Develop technical designs and models for assigned components, ensuring alignment with project goals. • Participate in code reviews and provide constructive feedback to improve team output. • Promote agile practices and collaborate with internal and external stakeholders to drive project success.