33 jobs found

Job Description Job Description Positions are full-time and onsite (in-person) at our office in beautiful Fort Walton Beach, Florida. What will you do? This is a Marketing Data Analyst role within the Marketing Department, reporting directly to the Director of Marketing. You will own the measurement and reporting of marketing performance across the full customer funnel, from first touch through subscription and revenue. You'll build and maintain dashboards, design event tracking schemas, manage customer data and automation scenarios within our CDP, and work within data warehouses to extract and transform the data that powers our decision-making. Your analysis will flow directly to the Director of Marketing to inform strategy, resource allocation, and tactical adjustments across every marketing channel. How You'll Make An Impact We are seeking a detail-oriented, technically skilled analyst who can turn fragmented data into a clear, unified picture of what's driving growth and what isn't. You'll bring structure to our marketing measurement, close instrumentation gaps, and give leadership the confidence to make faster, smarter decisions. Your work will directly shape how we invest across channels, optimize our funnel, and scale a product that helps families navigate some of the hardest moments of their lives. If you thrive at the intersection of marketing strategy and data engineering, and you want your analysis to actually change how a team operates, this role was built for you. Key Responsibilities Reporting & Dashboards Build, maintain, and iterate on dashboards (Looker Studio preferred) for the marketing department and leadership. Develop full-funnel reporting that distinguishes between upper, mid, and lower-funnel performance, with appropriate KPIs at each stage (impressions, CPM, CAC, LTV, ARPU, MRR, ARR, churn, etc.). Analyze conversion paths across paid media, organic, content/SEO, email, retargeting, and direct referral channels; implement multi-touch attribution beyond GA4 last-click. Identify instrumentation gaps that block KPI reporting and prioritize fixes by business impact. Track cross-platform (web/app) conversion symmetry and flag discrepancies. Data Infrastructure & Instrumentation Work within data warehouses to extract, transform, and query data. Own event schema design and implementation for tracking key conversion milestones across website and apps. Manage UTM strategy/taxonomy and configure Google Tag Manager containers to ensure accurate attribution and event firing. Monitor data integrity across GA4, Firebase, Google Search Console, Semrush, and platform-native tools. CDP & Marketing Automation Create and manage scenarios including trigger configuration (on-event, API-based, date-attribute), branching logic, and A/B testing. Build and maintain customer segments using behavioral data, event attributes, and aggregates. Manage customer data: profiles, identifiers, attributes, and events. Set up and manage data imports/exports between the CDP and external data warehouses. Collaboration Report directly to the Director of Marketing; surface findings, flag what's working and what's not, and provide data-backed recommendations to inform strategic decisions. Translate business questions into analytical frameworks and proactively identify information gaps before they become blockers. Maintain a working understanding of all marketing disciplines (social media, public relations, SEO, content strategy, digital advertising, email/lifecycle, and website) so that data analysis and recommendations account for how each channel operates, what it's optimized for, and how it contributes to full-funnel performance. Skills Required SQL required; Python or R strongly preferred. Hands-on data warehouse experience (writing queries, building views, managing pipelines). Advanced-level proficiency in GA4, Google Tag Manager, and Google Search Console. Dashboard development including calculated fields, blended data sources, and dynamic filtering. Understanding of marketing funnel mechanics and how to analyze KPIs at each stage. Working knowledge of UTM parameters, naming conventions, and campaign tracking taxonomy. Strong understanding of digital marketing tactics: content, SEO/GEO/AEO, paid search, paid social, display/retargeting, email, and website. Ability to translate complex data into concise reporting for varied audiences. Solution-focused with a knack for identifying information gaps. Effective working independently and as part of a team to meet deadlines. Training & Experience 2-4 years in marketing analytics or data analysis with direct responsibility for measurement and reporting. Proven experience writing SQL against data warehouses to analyze data from multiple sources. Track record building full-funnel dashboards and reporting frameworks tied to revenue outcomes. Hands-on GTM implementation experience (custom events, data layer, tag/trigger architecture). Experience with at least one CDP or marketing automation platform; must demonstrate ability to create automated scenarios, configure event-based triggers, and manage customer data/segments. Substantial experience with digital marketing tactics: Google Ads, Meta Ads, SEO, content, email/lifecycle, retargeting, and consumer journey mapping. Experience with multi-touch attribution modeling. Bonus Skills B2C SaaS or subscription-based product experience Firebase Analytics for mobile app tracking Google Digital Marketing & Analytics certifications Microsoft Data Analytics certifications Semrush or similar SEO analytics platforms Predictive analytics, cohort modeling, or ML applications in marketing JavaScript SDK implementation for web tracking API integrations for data pipeline automation Understanding of SaaS/subscription metrics: CAC, LTV, LTV:CAC, CAC payback, ARPU, MRR, ARR, churn. Candidates must be legally authorized to work in the United States and must not now or in the future require visa sponsorship to continue employment NOTE TO APPLICANTS: Salary or wages listed on or are not based on actual data for this job listing. The salary ranges that any third party provides with the listing on their websites are based on their own salary calculators and are not accurate for the Northwest Florida area. Candidate(s) who are offered a position will be required to successfully pass a pre-employment background check and drug screening. Applicants must be currently authorized to work in the US and not require sponsorship now or in the future. TalkingParents is an Equal Opportunity Employer No outsourcing or recruiting firms, please

Job Description Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role We're seeking a Senior Atlassian Cloud Engineer to serve as the primary administrator and strategic owner of our Atlassian ecosystem. This role blends deep technical expertise with strong project management instincts to ensure Jira, Confluence, and related tools are optimized for collaboration, delivery, and service management. You'll act as both platform owner and change agent driving innovation, best practices, and adoption as the business scales. What You'll Be Working On Owning day-to-day administration and long-term strategy for the Atlassian suite, including Jira Software, Jira Service Management, Confluence, Opsgenie, Product Discovery, and Statuspage Customizing workflows, permissions, dashboards, and automation to improve project execution, visibility, and cross-team collaboration Partnering with project managers, business leaders, and IT teams to embed effective project management and ITSM practices within Atlassian tools Designing advanced reporting and analytics using eazyBI, JQL, filters, CQL, and dashboards to support real-time decision-making Acting as the escalation point for complex platform issues, working closely with Atlassian Support and internal Service Desk teams Leading platform enhancements by staying ahead of Atlassian's roadmap and championing adoption of new features Driving AI initiatives within the Atlassian ecosystem, including building custom agents using Atlassian Rovo and implementing the Rovo MCP server Collaborating across IT to ensure reliability, security, and alignment with broader business objectives What You'll Bring to the Team 3+ years of experience administering Atlassian Cloud environments in enterprise settings Proven ownership of Jira and Confluence customization, site administration, and day-to-day operations Advanced expertise in Jira project configuration, including workflows, permission schemes, issue security, issue types, field configurations, and project roles Strong command of Jira Query Language (JQL), Confluence Query Language (CQL), and eazyBI for advanced reporting Experience implementing and operating ITSM processes in Jira Service Management (Incident, Change, Problem, CMDB/Assets) Solid understanding of RBAC, change control, release management, and system administration best practices Experience configuring authentication and authorization with Okta or similar IAM providers Familiarity integrating Atlassian tools with other business systems and working with structured data formats (JSON, YAML) Bonus Points Atlassian Cloud Professional certifications (ACP), with 2+ preferred Experience leading AI-driven initiatives within Atlassian, including Rovo agent development Background managing large-scale Atlassian implementations or migrations Experience supporting external user access and complex security models Prior work in fast-growing or highly cross-functional organizations Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range Compensation will be paid in the range of up to $115,000 - $135,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Job Description About Handshake Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We've grown from $0 to $1B run rate and pay $60M to over 30K individuals every month. Why join Handshake now: Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world's top educational institutions Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. About the Role Handshake is hiring a Machine Learning Engineer I for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies. You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality. What You'll Do Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization - with guidance from senior engineers. Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience. Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment. Desired Capabilities Bachelor's degree in Computer Science, Data Science, or a related field 3 years of experience in machine learning, data science, or a related area Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation Extra Credit Master's degree or currently pursuing an advanced degree in a relevant field Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines) Experience with cloud platforms (GCP, AWS, or Azure) Clear communicator, able to translate technical work for diverse audiences Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams Perks Handshake delivers benefits that help you feel supported-and thrive at work and in life. The below benefits are for full-time US employees. ? Ownership: Equity in a fast-growing company ? Financial Wellness : 401(k) match, competitive compensation, financial coaching ? Family Support: Paid parental leave, fertility benefits, parental coaching ? Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend ? Growth: $2,000 learning stipend, ongoing development ? Remote & Office: Internet, commuting, and free lunch/gym in our SF office ? Time Off: Flexible PTO, 15 holidays + 2 flex days ? Connection: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at Compensation Range: $151K - $189K

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: We are seeking a Manager, Software Engineering, focused on BI & Analytics to lead a high-performing, multidisciplinary team in building and maintaining the data pipelines, AI-powered data solutions, and custom analytics UIs and dashboards that are foundational to Disney's Ad Platforms. In this role, you'll manage both frontend and backend software & data engineering, ensuring that business and end-user needs are met with reliability, scalability, and outstanding UI/UX design. The ideal candidate will be both a technical leader and a people manager with deep expertise in software, data engineering and platform strategy. Responsibilities and Duties of the Role: Instill a culture grounded in engineering best practices such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Manage, mentor, and grow a team of high-performing software and data engineers, fostering a collaborative and innovative culture such as code quality, documentation, automation, and continuous improvement Coordinate with Product Management to align engineering roadmaps with product initiatives and timelines Partner with Program Managers to drive planning, prioritization, and delivery of cross-functional efforts Collaborate with QA leadership to build data quality processes and end-to-end validation such as code quality, documentation, automation, and continuous improvement Ensure engineering principles are consistently applied across projects and teams Lead and grow a high-performing team of software and data engineers working on mission-critical data products Set engineering roadmaps, delivery timelines, and platform-level initiatives Drive adoption of best-in-class tools and practices for data governance, lineage, observability, and cost optimization Provide technical guidance and career development for the team Collaborate with senior leadership to define data strategy and long-term architecture vision Manage capacity planning, resource allocation, and performance reviews Lead vendor/tool evaluations and oversee key integration efforts Partner with BI and analytics leads to ensure consistent, reliable data is delivered across the enterprise Spearhead the implementation of custom dashboards and analytics UIs, leveraging modern web frameworks (React, Angular, Vue, etc.), advanced data visualization, and design system best practices. Rapidly prototype UI components tailored to stakeholder/business requirements, ensuring high standards for usability, accessibility, and visual polish. Drive the integration of AI/ML solutions into both backend pipelines and analytics products; champion the use of AI-powered software development processes and robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering or data science - preferably with a digital media or digital advertising company Experience delivering products in an agile software development environment including sprint work in Jira Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations Strong SQL experience including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow Expert level knowledge in at least one programming language such as Python, R, Scala, Java. Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, Looker, etc. Strong experience building and deploying dashboards and UIs with frameworks such as React, Angular, or Vue. Demonstrated ability to quickly prototype and implement custom UI components to meet evolving business/stakeholder specs. Familiarity with AI-powered solution development and integrating machine learning into production data/analytics environments. Strong software development life cycle (SDLC) management experience, including source control, CI/CD, and agile workflows (Jira). Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences Experience in working with large datasets (Terabytes or more) Strong presentation and documentation skills including experience working with Confluence, Power Point, and Lucid Chart Strong analytical and critical thinking skills Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team Preferred Qualifications Experience designing, building and supporting Business Intelligence (BI) data platforms, dashboards, and reporting environments Experience in Ad Tech, particularly Linear or Addressable Advertising Experience with digital advertising systems and ecosystems Experience using data analytics to triage and troubleshoot advertising workflows Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD) Experience with rapid prototyping and agile delivery of analytics products. Required Education Bachelor's degree in computer science, or related technical fields, or equivalent experience Additional Information: Engineers are expected to be in the office four days a week. This role is hiring in Glendale, CA The hiring range for this position in Los Angeles, CA is between $171,600 - $230,100, Seattle, WA is between $179,700 - $241,000 and San Francisco, CA is between $187,900 - $252,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa Consulting & Analytics (VCA) drives tangible, impactful and financial results for Visa's clients, including card issuers, acquirers, and merchants. Within VCA, VCA Implementation services team collaborates with clients to architect and implement technology strategies that solve complex challenges. Our solutions drive outcomes from accelerated revenue growth to enhanced customer experience. We are looking for a passionate, dynamic and customer focused Sr. Manager - Client Consultant/Solution Architect to join Visa's Consulting & Analytics - Implementation Services team. The ideal candidate is a motivated self-starter who thrives at the intersection of technology, payments, and product thinking. This is a highly client-facing role that goes beyond traditional implementation-requiring the ability to act as a product partner, shape solutions, and influence outcomes based on client needs. In this role, you will serve as a trusted technical advisor to clients, responsible for leading and supporting the end-to-end technical solution and implementation of payment products while also wearing the Product Manager hat capturing business requirements and translating into scalable technical solutions, prioritizing features, aligning stakeholders, and ensuring solutions deliver real business value. Key Responsibilities: Lead discovery sessions to understand client goals, assess current-state architecture and define future-state vision. Translate business needs into clear technical and functional requirements, and acceptance criteria. Produce core implementation artifacts - solution design, integration diagrams, test plans, etc. Act as a trusted advisor throughout the client implementation lifecycle-from design to go-live, guiding clients on best practices and solution optimization. Prioritize features and enhancements based on client value, feasibility, and impact. Collaborate with Product, Engineering, Sales, and Operations teams to influence product direction. Define use cases, success metrics, and acceptance criteria. Lead solution implementation collaborating with cross-function teams to review technical design, integrations, and configurations. Review client architectures, data flows, and technical documentation for end-to-end payment flows. Partner with internal and client Product and Delivery teams to ensure high-quality outcomes. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Desired Domain experience: • Strong background in payments, financial services, and technology consulting, with deep expertise in global banking and payment card systems, merchant acquiring, and processing. • Advanced understanding of the end to end payments ecosystem, including transaction lifecycle, tokenization, fraud, disputes, compliance, and broader banking concepts. • Demonstrated experience across eCommerce, mobile, and point of sale technologies, with knowledge of fraud management, PCI, and product management strongly preferred. • Current knowledge of emerging payment trends, mandates, technologies, and the competitive landscape. Other skills: • Customer centric mindset with strong business acumen and the ability to engage effectively with clients, partners, and stakeholders at all levels. • Excellent communication, collaboration, and influencing skills, with proven success working across global, cross functional teams. • Strong experience operating in Agile environments, including Jira Management, SDLC, roadmap development, requirements prioritization, user stories, and backlog grooming. • Demonstrated leadership, accountability, and self motivation in fast paced, evolving environments, with a strong passion for digital commerce, merchants, and payments technology. U.S. Applicants Only The estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa's solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo's cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo's 500+ employees are located in more than 10 countries around the world. Job Description Key Responsibilities Design and govern real-time and event driven data architectures leveraging Apache Kafka and Azure streaming services (e.g., Azure Event Hubs with Kafka compatibility, Azure Stream Analytics). Define and maintain end to end data architecture patterns across real time, near real time, and batch processing paradigms. Develop and maintain reference architectures, data flow diagrams, and technical standards to guide platform and delivery teams. Partner closely with Data Engineering, Platform, and Enterprise Architecture teams to deliver solutions that are scalable, secure, well governed, and compliant. Lead proofs of concept (PoCs) and technology evaluations, providing clear architectural recommendations and trade off analyses. This is a Hybrid Position. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience. Preferred Qualifications • 12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD • 8+ years' experience as a Data Architect or Senior Data Engineer, operating in complex enterprise environments. • Deep expertise in Streaming architectures, including managed or commercial distributions (e.g., Kafka compatible Azure Event Hubs or Confluent on Azure). Strong hands on experience with Azure data and analytics platforms, such as: • Azure Data Lake Storage Gen2 / Azure Blob Storage • Azure Event Hubs • Azure Data Factory • Azure Synapse Analytics • Azure Functions • Azure Kubernetes Service (AKS) or Azure Container Apps • Proven experience designing and delivering both streaming and batch data solutions at enterprise scale. • Excellent documentation, communication, and stakeholder management skills, with the ability to influence across technical and non technical audiences. • Nice to Have • Experience with Databricks, AWS and Apache Airflow (or equivalent orchestration and transformation tools). • Prior experience in Banking or financial services, particularly in architecture roles within regulated environments. Information for US Applicants For roles located in the US, the estimated salary range for this position is $173,100.00 to $ 276,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Social Channel Ops and Insights Manager will play a critical role in executing and optimizing Visa's social media and web presence across owned and priority platforms. This role is responsible for day to day publishing, performance monitoring, and insights development to ensure content is resonating with audiences and informing ongoing newsroom strategy. The ideal candidate is highly analytical, operationally strong, and comfortable balancing publishing excellence with performance reporting and real time optimization. This role partners closely with content, brand, and communications teams to translate data into clear, actionable recommendations. Key Responsibilities: Operations & Content Execution: Execute day to day publishing across Visa's owned and digital corporate, internal and news communications channels, ensuring accuracy, consistency, and alignment with content calendars and brand guidelines. Manage the newsroom calendar, content workflows, asset coordination, and publishing schedules in partnership with internal stakeholders and agency partners. Support quality control across posts, ensuring formatting, tagging, and platform best practices are consistently applied. Digital Insights, Analytics & Reporting: Monitor digital performance across platforms, including audience growth, engagement, reach, and content effectiveness. Develop regular performance reporting and dashboards that clearly communicate results, trends, and key takeaways to internal stakeholders. Translate quantitative and qualitative data into actionable insights that inform content optimization, planning, and future campaign development. Identify patterns in audience behavior and content performance to recommend improvements to timing, formats, and messaging. Listening, Trends & Brand Sentiment: Monitor digital channels for audience engagement, emerging trends, and shifts in brand sentiment. Support social listening efforts, identifying relevant conversation themes, risks, or opportunities for engagement. Share timely insights and trend observations with cross functional partners to inform content planning and decision making. Real time Monitoring & Optimization: Support real time content opportunities, rapid response moments, and reactive publishing as needed. Continuously optimize content performance through learnings derived from analytics and platform insights. Partner with internal teams during priority moments (e.g., announcements, launches, or cultural moments) to ensure performance is closely tracked and supported. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD Preferred Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD 5-7+ years of experience in social media or digital marketing. Strong understanding of social platforms and analytics tools. Experience with content performance analysis and reporting. Experience working in matrixed organizations with multiple competing priorities. Experience operating at a senior level within a highly matrixed, global organization. Strong executive presence with the ability to counsel senior leaders and operate as a trusted partner. Exceptional written and verbal communication skills. High-level of professional integrity and confidentiality. Creative, positive, collaborative, and high-energy individual with an ability to execute. Mix of agency and in-house experience strongly preferred. U.S. Applicants Only The estimated salary range for this position is $116,300.00 to $ 186,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: Design, build, and optimize large-scale data pipelines for batch and real-time processing Develop and maintain distributed data systems that are highly available, scalable, and resilient Lead initiatives to process, transform, and manage structured and unstructured data across platforms Drive development of data platforms and data products that support analytics, reporting, and machine learning use cases Partner with product, analytics, and business teams to translate requirements into scalable data solutions Architect solutions using big data technologies such as Hadoop, Spark, and distributed data processing framework Build and optimize ETL/ELT pipelines and ensure high data quality, reliability, and performance Implement automation, monitoring, and observability for data pipelines across the data lifecycle Lead proof-of-concept initiatives to evaluate and adopt new data engineering technologies Influence and drive best practices in data engineering, including data modeling, pipeline design, and governance Mentor engineers and foster a culture of continuous learning and accountability. Essential Functions: Collaborate with stakeholders to understand data requirements and deliver impactful solutions Architect and implement secure, robust, and scalable data platforms Drive innovation through experimentation, prototyping, and rapid iteration Ensure strong data governance, quality, and operational excellence Engage with cross-functional teams to align on technical and business outcomes This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD • Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. • Expertise in Java or Scala and container-based technologies (Docker, Kubernetes). • Proficiency in creating and managing large-scale data pipelines and machine learning models. • Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. • Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. • Familiarity with Agile development, TDD, CI/CD, and various databases. • Proven track record of building reliable, scalable, and operable applications. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring and helping juniors grow professionally. • Excellent communication and interpersonal skills, and a strong team player. U.S. Applicants Only The estimated salary range for this position is $146,200.00 to $ 233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web application and web service development who will focus on crafting new capabilities for the AI Platform while maturing our code base and development processes. You are a dedicated developer who can work and collaborate in a multifaceted environment as a valued member of our Agile Scrum teams. You should have strong problem-solving abilities and be passionate about coding, testing and debugging skills. You know how to fill product backlog and deliver production-ready code. You must be willing to go beyond the routine and be prepared to do a little bit of everything. As an integral part of the development team, you will sometimes explore new requirements and design, and at times refactor existing functionality for performance and maintainability. But the goal is always working on ways to make us more efficient and provide better solutions to our end customers. Flexibility and willingness to tackle new tasks as needed are significant to success. If this sounds exciting to you, we would love to discuss and tell you more about our work! Essential Functions: Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Drive development effort End-to-End for timely delivery of high quality solutions that conform to requirements, conform to the architectural vision, and align with all applicable standards. Responsibilities span all phases of solution development. Collaborate with senior technical staff and PM to identify, document, plan contingency, track and manage risks and issues until all are resolved. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a detailed and timely manner. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Expert in at least one of the following: Golang, Java, or C/C++ • Experience with web service standards and related patterns (REST, gRPC) • Experience developing large scale, enterprise class distributed system or subsystems that require high availability, low-latency, & strong data consistency computing • Experience implementing solutions for low-latency, distributed services using open standard technologies. • Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce • Experience with distributed caching technologies like Redis • Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. • Experience architecting solutions with Continuous Integration and Continuous Delivery in mind U.S. Applicants Only The estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Management organization is seeking an Analyst to support and evolve the Demand Management function within our Third-Party Technology Management practice. This role combines business analysis, data analytics, and process automation to improve how technology demand is planned, forecasted, tracked, and fulfilled across hardware, software, and services. The ideal candidate brings a blend of analytical thinking, process improvement expertise, and technical aptitude. They are comfortable evaluating existing workflows, identifying inefficiencies, and implementing automation solutions using data analytics, AI-powered tools, and low-code technologies. This role will partner closely with technology, finance, procurement, and vendor management teams to transform demand management processes into scalable, data-driven capabilities. The Work You'll Do: Support the development and execution of Visa's multi-year technology demand planning process across hardware, software, cloud services, and vendor-based technology solutions. Analyze demand data, consumption trends, asset utilization, and budget forecasts to identify optimization opportunities and improve planning accuracy. Partner with stakeholders to gather business requirements, document current-state processes, and design future-state solutions that improve efficiency and decision-making. Develop and maintain dashboards, reports, and analytical models that provide visibility into demand forecasts, budget utilization, portfolio health, and operational performance. Evaluate existing demand management workflows and identify opportunities to automate manual processes using AI, low-code platforms, scripting, workflow automation tools, and data-driven solutions. Design and implement process improvements leveraging technologies such as ServiceNow workflows, Power Platform, generative AI tools, and business intelligence platforms. Collaborate with technology, finance, procurement, and vendor management teams to align demand forecasts with strategic objectives, budgets, and supply planning. Support asset lifecycle planning, technology refresh initiatives, software renewals, and capacity planning activities. Create data quality controls, process documentation, and governance mechanisms to improve the accuracy and reliability of demand management data. Assist with purchase planning, vendor coordination, maintenance renewals, and demand intake processes while continuously seeking opportunities to improve the user experience and operational efficiency. Serve as a trusted partner to stakeholders by translating business challenges into actionable analytics, insights, and automation solutions. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: 3+ years of experience in Business Analysis, Data Analysis, Technology Operations, Demand Management, IT Asset Management, Technology Finance, or a related discipline. Experience working with large datasets to identify trends, develop forecasts, and support business decision-making. Demonstrated ability to analyze business processes and implement workflow improvements or automation solutions. Experience with business intelligence and reporting platforms such as Power BI, Tableau, or similar tools. Working knowledge of SQL and data analysis techniques. Experience with ServiceNow, including ITAM, SAM, HAM, workflow automation, or platform reporting capabilities. Familiarity with Microsoft Power Platform (Power Automate, Power Apps) or similar low-code automation platforms. Exposure to AI and generative AI technologies, including practical application of AI tools to automate workflows, reporting, document processing, or data analysis. Understanding of technology budgeting, vendor management, procurement processes, and software/hardware lifecycle management. Experience gathering requirements, documenting business processes, and translating business needs into technical solutions. Strong Excel skills, including data modeling, forecasting, pivot tables, and advanced reporting techniques. U.S. Applicants Only The estimated salary range for this position is $94,400.00 to $ 146,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity: We are seeking a SQL Server Database Engineer with a strong focus on production operations and reliability engineering (SRE). As part of this team, you will contribute to the plan, build, and run of Microsoft SQL Server database infrastructure, with a primary focus on system reliability, performance, and operational excellence. This is a hands-on Microsoft SQL Server role requiring strong T-SQL and PowerShell skills, with an emphasis on production support, automation, and performance tuning. This role is ideal for an engineer who enjoys owning production database environments, solving real-time issues, and improving system stability through automation, observability, and proactive performance optimization. You will play a key role in ensuring databases are highly available, resilient, and operating at scale-rather than building analytics platforms or data pipelines. You'll work both independently and collaboratively to deliver database improvements, troubleshoot complex issues, and support critical production systems, while applying best practices in SQL Server administration, automation, and reliability engineering. The Work Itself: Production Database Ownership (SRE Focus) Own the health, stability, and reliability of SQL Server production environments. Continuously improve availability, monitoring, alerting, and incident response practices. Performance Tuning and Reliability Diagnose and resolve real-world production issues including slow queries, blocking, deadlocks, and resource contention. Optimize performance through advanced T-SQL tuning, indexing strategies, and execution plan analysis. Monitoring, Alerting, and Incident Response Build and maintain monitoring and alerting systems for database health and performance. Participate in on-call rotations, triaging and resolving incidents to minimize downtime and business impact. Backup, Recovery, and High Availability Own backup/restore processes, disaster recovery planning, and HA solutions (Always On, replication). Ensure systems are resilient and meet uptime expectations. Automation and Operational Efficiency Develop and maintain automation using PowerShell and SQL Server tooling (SQL Agent jobs, scripting, etc.) to streamline operations and reduce manual intervention. Security and Compliance Manage database access, permissions, and security configurations. Ensure adherence to data protection and operational security best practices. Collaboration with Engineering Teams Work closely with application engineers to support production database usage, improve query efficiency, and troubleshoot issues in real time. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. This role requires 24/7 oncall production support. This role is not eligible for employment-based visa sponsorship. Candidates must be authorized to work in the United States without current or future sponsorship. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications 2-5 years of hands-on experience with Microsoft SQL Server in production environments Strong experience with: T-SQL (query tuning, stored procedures, performance troubleshooting) PowerShell scripting for automation and operational tasks SQL Server performance tuning (indexing, execution plans) Experience supporting production systems or on-call environments Experience with backup/recovery and database maintenance Strong problem-solving skills in live operational scenarios Nice to Have Experience with automation platforms (e.g., Ansible) Observability experience (Clickhouse, Grafana, Prometheus, Datadog, etc.) Exposure to SQL Server HA/DR (Always On, replication, clustering) Experience in SRE, DevOps, or operations-focused roles Cloud exposure (AWS or GCP) Familiarity with Git/GitHub Experience leveraging AI/code assistant tools for troubleshooting or automation U.S. Applicants Only The estimated salary range for this position is $110,700.00 to $ 171,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description We are seeking a Staff Systems Engineer, Microsoft Teams, to join Visa's enterprise-wide subject matter expert (SME) team, accountable for the holistic Microsoft Teams experience across the company. This role is central to defining the strategy, architecture, governance, and operational model for Microsoft Teams, ensuring that the platform delivers seamless collaboration for every Visa employee. As a Microsoft Teams Staff Systems Engineer, you will own the end to end deployment, optimization, and evolution of the Teams environment, including meetings, chat, channels, voice, platform integrations, security, device integration, and space booking capabilities. The ideal candidate has experience serving as a Microsoft Teams subject matter expert within a global enterprise, while operating with a product mentality. The Work itself Serve as one of Visa's lead Microsoft Teams experts, owning platform strategy, roadmap, architecture, governance, and day to day service excellence. Design and implement enterprise Teams policies, configuration standards, lifecycle management processes, and best practice governance. Optimize the global Teams experience through monitoring, analytics, incident trend analysis, and direct partnership with Microsoft. Oversee Teams interoperability across Microsoft 365 services including SharePoint Online, Exchange Online, OneDrive, and other platforms. Lead problem management, root cause analysis, and resolution efforts for complex Teams issues. Partner with Audiovisual, Unified Communications and Enterprise Broadcast engineering teams, ensuring device integration meets modern collaboration standards. Manage guest access, external collaboration, retention, DLP, and compliance capabilities. Collaborate across Security, Network Engineering, Infrastructure, and Collaboration platforms. Drive adoption and change management planning for new Teams features. Maintain platform documentation, operational playbooks, FAQs, and training materials. Participate in Microsoft product previews and roadmap alignment efforts. Accountable for vendor and consultant management, including oversight of service delivery quality, technical alignment, contract performance, and integration of partner capabilities into Visa's collaboration ecosystem. Direct and coordinate external engineering partners, ensuring architecture, operational processes, and project outcomes align with Visa's standards and long term strategy. Maximize AI and agentic automation opportunities across Microsoft Teams and the broader Microsoft 365 platform, including Copilot, Graph based automation, workflow intelligence, meeting and communication insights, and next generation collaboration agents. Champion AI driven optimization, using insights, automation frameworks, and platform telemetry to streamline operations, improve user experience, and elevate enterprise collaboration maturity. Essential Capabilities: Deep expertise in Microsoft Teams architecture, admin, governance, and performance tuning. Strong understanding of Microsoft 365 and Exchange. Ability to translate business needs into scalable technical solutions. Leadership in managing complex incidents. Excellent communication skills. Curiosity and ownership mindset. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications 6-8 years of experience with enterprise Microsoft Teams. Experience with Teams Admin Center, PowerShell, Teams Rooms, governance. Knowledge of collaboration security and compliance tools. Experience integrating Teams with devices and telephony. Microsoft certifications such as MS 700 or MS 721 preferred. U.S. Applicants Only The estimated salary range for this position is $131,600 to $233,700 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Serve as a key contributor to the development and maturation of the Credit Union's Third-Party Risk Management (TPRM) program, ensuring alignment with strategic goals and regulatory requirements. Assess, monitor, and mitigate third-party risks while supporting comprehensive due diligence and managing risk frameworks. Collaborate with internal teams-including Office of General Counsel, IT, and Procurement-to address and resolve risk-related issues. Track and manage remediation efforts, analyze TPRM KPIs and KRIs to provide actionable insights, and support procurement reporting and analytics to enhance program effectiveness. This position is hybrid. NYC Salary Range: $105,000 - $120,000 annually: compensation is commensurate to geographic location. • Regardless of seniority or role, uphold UNFCU's mission, core values, and guiding principles by providing an exceptional service experience to colleagues and members alike through consistent demonstration of our service excellence behaviors. • Support the TPRM framework to ensure alignment with organizational objectives and regulatory requirements, with primary responsibility for tracking of end to end third party risk assessment process, which includes risk reviews, documenting findings in the risk register, coordinating follow-ups with the third parties and the business unit owners, and facilitating the collaboration and documentation of the related risk acceptance with the business unit owner. • Assist in maintaining TPRM & Vendor Management processes, ensuring oversight, tracking, and documentation are in full compliance with TPRM policy. • Collaborate with risk domain SMEs (i.e., Third party risk assessor, Procurement team, Office of General Counsel, Information Security, Enterprise Risk Management, Compliance etc.) to align various risks, third party security events, and business unit goals with UNFCU risk appetite and support the VP TPRM with any escalations. • Serve as a designated alternate to the TPRM analyst in the vendor management review and sign off in the Vendor Management tool. • Partner with TPRM analyst to engage in TPRM policy compliance discussions with the business unit owners. • Partner with Procurement Manager on Quarterly Third-Party Performance survey discussions with the business unit owner and informing VP TPRM, as necessary. • Support the Procurement team in Contract Management activities including the development and execution of the Contract Management Program. • Serve as the primary liaison between TPRM and Business Continuity teams to ensure third-party business continuity risks are identified, assessed, and addressed. • Ensure third-party continuity risks are integrated into UNFCU's resilience planning and remediation efforts. • Support the VP TPRM and the Procurement Manager as needed in TPRM and Procurement KPI/KRI Reporting & Analytics. • Support the planning, execution, and documentation of Third-Party Risk assessments completed by the UNFCU third party risk assessor, across business units. • Lead the TPRM Issue Management process. Maintain, track, and report all third-party issues & events in collaboration with UNFCU Incident Management team. • Collaborate with business unit owners to communicate findings, develop risk mitigation strategies, and provide insights that support the TPRM Framework. • Support ongoing monitoring and risk-remediation activities by assisting in tracking vendor exceptions and issues, updating risk profiles, and documenting remediation steps. • Lead, execute & document the third-party termination process in collaboration with the business unit owner, Office of General Counsel, Information security teams and the third party. • Partner with VP TPRM to proactively identify and implement opportunities to enhance TPRM processes, reporting mechanisms, and the overall control environment driving efficiency and effectiveness within key focus areas. • Stay informed with industry updates, new regulations, and best practices in risk management to ensure the ongoing effectiveness of the TPRM Framework and its alignment with regulatory expectations and industry benchmarks. • Perform additional responsibilities and ad-hoc projects as required to support the TPRM & Procurement Department. • Ensure compliance with federal and state laws and regulations and UNFCU's Code of Ethics & Business Conduct. • Bachelor's degree with equivalent experience. • 4 years TPRM experience with Procurement expertise. • Advanced Microsoft Office proficiency; skilled in data visualization and reporting tools (Power BI, Tableau) to generate actionable insights. • Skilled in assessing third-party risks, managing security control evaluations, and implementing risk mitigation strategies. • Knowledgeable in data privacy and enterprise/member data management, collaborating with business units and key stakeholders including Procurement, Office of General Counsel, and Information Security. • Strong verbal, written, and interpersonal skills; able to present metrics and reports to leadership while working effectively both independently and in team settings. • Detail-oriented and proactive, skilled at managing multiple projects under pressure while prioritizing effectively. • Experienced in challenging business unit decisions using TPRM principles, data classification, and regulatory guidance, and driving process improvements and operational efficiencies.

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Genesis10 is seeking a Senior Business Analyst for a contract to hire role with an insurance client. This position will work in Chicago, IL Compensation: $75.00 - $90.00 per hour, W2, depending on skill and experience level. Location: Chicago, IL (Hybrid - 3 days/week onsite) Position Overview: The Senior Business Analyst will lead requirements and workflow design efforts across complex underwriting transformation initiatives. This role is both strategic and hands-on-you'll work directly with stakeholders to shape solutions, while also ensuring high-quality deliverables across initiatives. Primary Responsibilities: Lead end-to-end requirements gathering and workflow design for AI-enabled initiatives Design future-state underwriting processes and identify gaps in current workflows Partner closely with product managers, stakeholders, and technology teams Facilitate workshops and drive alignment across business and technical groups Ensure consistency and quality across business analysis deliverables Provide guidance and mentorship to other analysts as needed Core Requirements: 5+ years of Business Analyst experience, including leading complex initiatives Insurance Experience Strong stakeholder management and facilitation skills Experience designing workflows and translating business needs into solutions Strong experience with Visio or Lucidchart. Would welcome samples of workflow documentation Ability to operate across multiple initiatives and prioritize effectively Strong analytical and problem-solving skills High energy and enthusiasm Desired Skills: Property & Casualty insurance experience Experience with AI, automation, or advanced analytics initiatives Consulting or transformation experience What Sets You Apart: You can influence stakeholders and drive alignment in complex environments You balance strategic thinking with hands-on execution You elevate the quality of work across teams, not just your own If you have the described qualifications and are interested in this exciting opportunity, apply today! About Genesis10: Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years The opportunity to have a home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as the Best Company for Work-Life Balance, and as the Best Company for Career Growth, Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE : $78 - 84/ hour JOB NUMBER: REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI enabled analytics or development tools (e.g., Claude, AI code assistants, agent based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end to end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! As a Business Intelligence Manager II, you will lead a small to medium-sized team focused on delivering data-driven insights and reporting solutions. Your team will be responsible for building data literacy and advocating for data needs upstream and early in the process. There will be a focus on enabling Self Service via semantic layers, using a product happy path approach to ensure data driven decision making and actionable insights. You and your team will act as strategic partners to the business, while taking ownership of enterprise dashboards/reports to drive and champion success. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Lead the development and maintenance of BI dashboards, reports, and data models to support business operations and strategy. Collaborate with PMO, Product, Stakeholders, and Engineering to align data initiatives in the department with business goals. Drive the adoption of AI and advanced analytics to enhance business intelligence capabilities, improve efficiency, and generate actionable insights at scale. Maintain a prioritized backlog of tasks and ensure clarity and cleanliness of data pipelines and reporting artifacts. Partner with infrastructure and data engineering teams to ensure optimal performance of BI tools and platforms. Demonstrate deep understanding of data sources, business processes, and reporting requirements; propose effective solutions. Analyze risks and impacts of BI changes on business operations and recommend improvements. Apply and advocate for team standards in data documentation, visualization, and testing. Communicate effectively across technical and non-technical audiences, recognizing upstream and downstream data impacts. Continuously improve BI processes and mentor team members to enhance data literacy and analytical capabilities. Monitor BI system health and proactively address issues to ensure high availability and reliability. Promote a culture of data-driven decision-making and continuous learning within the team. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Information Systems, Data Analytics, or related field; or equivalent experience. 5 - 8 years managing BI or analytics teams. Strong communication skills, both oral and written. Proven experience using BI solutions to improve business outcomes. Experience managing requirements gathering, prototyping, user acceptance testing, and deployment of BI projects. Basic understanding of data warehousing and web technologies. Preferred: Experience with BI lifecycle and governance frameworks. Proficient in Power BI with expertise in developing dashboards, reports, and data visualizations that drive business decisions. Proficient in Databricks for data engineering, analytics, and scalable data processing. Project management experience: PMP certification is a plus. Experience writing SQL queries and analyzing data patterns. Familiarity with cloud-based BI platforms and data services. Ability to manage multiple priorities and communicate complex data concepts clearly. Demonstrated ability to lead with insight and make strategic recommendations. Self-driven, customer-focused, and able to work independently with moderate supervision. Strong analytical skills and ability to work with abstract concepts. Target Compensation: A competitive base salary range from $129,018 - $189,226. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Project Lead 3 (Hybrid) Primary Location: Austin, Texas V-Soft Consulting is currently hiring for a Project Lead 3 for our premier client in Austin, Texas. WHAT YOU'LL NEED: Technical Requirements and Certifications " Project Management Professional (PMP) certification is required. PMP, PgMP, PMI ACP, SAFe, or similar project management certification preferred. Education and Experience " Experience leading technical projects or programs in data, analytics, and cloud environments.: 10 years. Experience leading data architecture, data modeling, and data warehousing initiatives from planning through delivery.: 10 years. Proven ability to manage business intelligence, big data, and analytics projects in complex enterprise environments.: 10 years. Experience supporting healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus.: 10 years. Working knowledge of SQL and database technologies to support project planning, estimation, and issue resolution.: 10 years. Strong communication skills with the ability to translate complex technical concepts for business and executive audiences.: 10 years. Proven leadership skills managing cross-functional teams, vendors, and complex project timelines.: 10 years. Strong collaboration skills to work effectively with data engineers, developers, analysts, and business partners.: 10 years. Experience defining project scope, objectives, milestones, timelines, and success metrics.: 10 years. Experience with project budgeting, forecasting, resource planning, and financial status reporting.: 10 years. Proficiency with project management tools such as Jira, Azure DevOps, MS Project, or Smartsheet.: 10 years. Strong documentation skills for project plans, charters, schedules, and lessons learned.: 10 years. Working knowledge of cloud platforms, data systems, or enterprise applications.: 10 years. Proactive leadership style with strong attention to detail and ability to work independently.: 10 years. Familiarity with cloud platforms, data pipelines, and AI/ML adoption efforts is highly desirable, along with strong communication and organizational skills. Preferred: Familiarity with healthcare or other regulated environments, including compliance, security, and data governance concepts.: 8 years. Healthcare industry experience preferred.: 8 years. Fundamental understanding of information management principles, IT processes, SDLC, architecture, and enterprise technologies.: 8 years. Strong consulting and facilitation skills.: 8 years. Customer-focused communication skills with the ability to engage all levels of the organization.: 8 years. Proactive leadership style with strong attention to detail and ability to work independently.: 8 years. Experience supporting AI, advanced analytics, or digital transformation initiatives at the program or project level.: 3 years. TOGAF, Cloud Solution Architecture, or Azure/AWS/GCP certifications preferred: 3 years. WHAT YOU'LL DO: Job Responsibilities: Responsible for the planning, coordination, requirements gathering, business analysis, specifications development, project planning, project monitoring, and project status reporting and system implementation of moderate to complex business solutions. This role supports a Technical Project Manager for a data engineering project with an AI adoption program. The position involves managing cross-functional coordination, tracking deliverables, supporting platform and data engineering initiatives, and ensuring alignment between business, engineering, and AI stakeholders. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

Position Title: Staff Data Scientist Description: Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice . click apply for full job details