Top Senior Level Data & Analytics Jobs in Chicago, IL
Seeking an Executive Director, Data Products to drive monetization efforts for D/Cipher's intent targeting solution, curate deal packages, develop high-margin data products, and analyze campaign performance for pricing strategy. Responsibilities include developing new data products, partnering with stakeholders, analyzing performance, and collaborating cross-functionally. Qualifications include a Bachelor's degree, 5+ years of programmatic monetization experience, advanced knowledge of ad tech platforms, and strong strategic thinking skills.
As a Data Orchestration Lead, you will be responsible for implementing cutting-edge Data Orchestration solutions, leveraging PEGA and integrating with S4 systems. Your role involves planning, executing initiatives, managing strategy and technology capabilities, and ensuring seamless integration of data processes across teams. You will also be responsible for cost control, product fit for purpose, and promoting new solutions delivery. This role requires a 4-Year Degree in Data Management or IT with 10+ years of experience in Data Management/Data transformation, 5+ years in Agile, and experience in partnering with business functions on transformations.
Collaborate with Agile teams to design, develop, and support technical solutions using full-stack development tools and technologies. Lead a team of developers in machine learning, microservices, and full stack systems. Utilize programming languages like Java, Scala, Python, and cloud-based data warehousing services. Drive the transformation within Capital One by delivering robust cloud-based solutions.
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As a Lead Data Management Consultant at Discover, you will be responsible for developing, implementing, and supporting data quality controls and strategies. You will also define data quality metrics, design solutions for metadata management, and drive improvements in architecture and team processes. Minimum qualifications include a Bachelor's Degree and 4+ years of IT work experience in data analysis and management. Proficiency in SQL is required.
Responsible for analyzing and governing the ServiceNow CMDB and asset management modules, collaborating with business partners, and assisting with ITSM and Disaster Recovery initiatives. Maintain CMDB accuracy, perform audits, generate reports, assist in incident investigation, and participate in disaster recovery testing. Provide input on ITSM policies and procedures.
Lead the Data Quality Team, define and manage technical strategy, build and lead a team of data quality analysts, and ensure data accuracy and integrity. Collaborate with trading and technical teams to maintain data quality for trading decisions.
Senior Program Manager-Business Analyst accountable for translating business needs into innovative solutions. Responsibilities include leading business requirement sessions, aligning requirements with IT systems, and managing stakeholder communications. Qualifications include 10 years of project/program management, strategic thinking, and excellent communication skills.
Seeking a Manager, Software Engineering to lead the Data Access team responsible for querying databases and SQL generation. Responsibilities include managing and mentoring engineers, collaborating with development teams, contributing to projects, and delivering high-quality solutions. Successful candidates will have 6+ years of software engineering experience, expertise in Java and distributed systems, and a strong software design background.
Senior Web Data Scientist role at Square, responsible for leveraging data science and analytics to optimize growth on web surfaces through experiments and actionable recommendations. Partner with Marketing and Engineering teams to drive web strategy goals and site optimizations. Collaborate with technical experts within the data organization to share best practices and insights.
Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.
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