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Top Senior Level Analytics Jobs in Birmingham, AL
The Data Architect Manager at PwC will design and develop robust data solutions, transform raw data into actionable insights, and lead projects in data engineering. Responsibilities include developing data pipelines, mentoring team members, collaborating on data strategies, and ensuring compliance with data governance policies.
As a Data Architect Manager at PwC, you will lead the design and development of advanced data solutions, creating data infrastructure and systems that facilitate efficient processing and analysis. You will mentor team members, manage performance, and collaborate with stakeholders to ensure alignment with business needs while upholding professional standards.
As a Data Engineering Manager at PwC, you will lead the design and implementation of data solutions, manage team performance, and enhance data architecture strategies. Your role involves developing data pipelines, integration, and transformation solutions while mentoring team members. You will ensure projects meet quality standards and collaborate with stakeholders to address data requirements, all while upholding PwC values and professional standards.
The Data Center Selection Manager will improve the quality and cost of colocation sites and manage vendor relationships, contracts, and budgets while collaborating with legal and operational teams to support infrastructure growth. Responsibilities include defining vendor strategies, negotiating deals, and leading vendor management activities.
The Information Security Compliance Analyst will manage and execute SOC reporting initiatives, conduct technical risk assessments of third-party vendors, maintain a register of suppliers and risks, assist in security training programs, and conduct user activity audits.
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As a Staff Data Analyst at Upstart, you will influence credit platform decisions, conduct credit monitoring, build financial models, analyze credit trends, mentor junior team members, and collaborate with cross-functional teams to enhance investor confidence in Upstart's AI lending technology.
As the Senior UX and Analytics Lead, you will enhance user experience for Risk Ripple Analytics by producing design deliverables, analyzing engagement metrics, and optimizing user satisfaction. You'll leverage data insights to improve design strategies and collaborate with stakeholders to align business and user needs, driving product adoption and engagement.
As a Senior Manager at Arity, you will lead R&D teams in developing machine learning models for driver behavior detection. Your role will involve collaborating with product and engineering teams, managing diverse teams of data scientists, and executing communication strategies to ensure successful project outcomes.
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
The Microsoft Solutions Architect is responsible for client-facing pre-sales consultancy, developing technical proposals for Data & Analytics solutions that match client requirements, and ensuring successful delivery while maximizing profit for CDW. This role includes creating design documents, engaging in account prioritization strategies, and building strong relationships with partners and clients.
The Staff Security Analyst will lead incident response, analyze complex cybersecurity threats, and mentor junior analysts. Key responsibilities include developing detection solutions, overseeing security challenges coordination among multiple teams, and maintaining incident response playbooks.
The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.
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