Manager of Analytics Enablement

Join Sonsoft Inc. as a Data Science and Analytics Specialist, where you will leverage your analytical skills to extract insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decisions and strategies. Your work will directly impact our projects and influence key business decisions.

Join our dynamic team as the Director of Data Science Analytics & Integration, where you will lead innovative projects that harness the power of data to drive strategic decision-making and enhance operational efficiency. In this pivotal role, you will oversee the development and deployment of cutting-edge analytics solutions, guiding a team of talented data professionals to deliver actionable insights across various sectors.As a key leader, you will collaborate closely with cross-functional teams to integrate data-driven strategies into business processes, ensuring alignment with organizational goals. Your expertise in data science methodologies and tools will empower you to mentor staff, fostering a culture of continuous improvement and innovation.

About the Role DoorDash is hiring a Manager of Data Science to join the Logistics Analytics team. This leader will use data insights to improve logistics operations and delivery efficiency. The role involves managing a team of data scientists and working with partners across the company to support strategic projects and roll out new solutions. Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX Washington D.C. What You Will Do Lead and mentor a team of data scientists focused on logistics analytics Collaborate with cross-functional teams to support key business initiatives Apply data analysis to optimize logistics and boost delivery performance Drive implementation of new solutions that improve operational efficiency

Join Sonsoft Inc. as a Data Science Analyst, where you will harness the power of data to drive business insights and support decision-making processes. In this role, you will work closely with cross-functional teams to analyze data trends, build predictive models, and contribute to strategic initiatives. Your analytical skills will be pivotal in transforming complex data sets into actionable insights, thus influencing the direction of our projects.

Tiger Analytics is a premier analytics consulting firm renowned for empowering Fortune 100 companies to unlock the full potential of their data. Our team of expert consultants specializes in Data Science, Machine Learning, and Artificial Intelligence, driving significant business value through data-driven insights. Recognized by industry leaders like Forrester and Gartner, we are at the forefront of AI and analytics consulting, particularly within the Consumer Packaged Goods (CPG) and retail sectors, which constitute over 40% of our revenue and are our fastest-growing areas.We seek a dynamic leader who possesses a strong combination of business consulting acumen and a solid background in data analytics to join our team.Key Responsibilities:Leverage advanced data science techniques to address complex business challenges within the CPG sector.Engage directly with client stakeholders to convert business challenges into comprehensive analytics solution frameworks.Effectively communicate analytical solutions to diverse business audiences, emphasizing their robustness and potential for generating significant business value.Oversee analytics projects, collaborating with both client stakeholders and Tiger’s global team.Engage in collaborative discussions with team members to identify and implement relevant analytical techniques that yield actionable business insights.Deliver presentations to senior management, conveying results and developing strategies to operationalize analytic solutions.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

Tiger Analytics is seeking a highly skilled Lead Engineer — Agentic AI to join our dynamic team at an advanced analytics consulting firm. Our experts leverage profound knowledge in Machine Learning, Data Science, and AI to become the trusted analytics partner for numerous Fortune 500 companies, translating data into substantial business value. Our leadership and contributions have been acknowledged by industry leaders such as Forrester and Gartner.Position OverviewIn this pivotal role, you will collaborate with business stakeholders and end users to conceptualize, develop, and govern enterprise-scale AI agents. You will provide strategic and technical oversight for AI agent development across various business units, ensuring adherence to quality, security, and compliance standards.Key ResponsibilitiesPartner with business teams to design, develop, and deploy AI agents that enhance efficiency and foster innovation.Offer guidance and technical oversight to users and teams engaged in agent development, ensuring alignment with enterprise standards.Develop, test, and maintain AI agents utilizing platforms such as Gemini Enterprise, Agentforce, Sierra.AI, DevRev, and other cutting-edge technologies.Monitor live agents, troubleshooting and resolving any performance or functionality issues that arise.Conduct extensive security and functionality testing prior to deployment.Create and enforce policies, guidelines, and protocols for AI and agent testing.Act as a subject matter expert (SME) for AI strategy, brainstorming, and implementation across business functions.Keep abreast of emerging AI technologies and propose best practices for enterprise-wide adoption.QualificationsBachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master's degree is preferred.6+ years of experience in AI solution development or intelligent automation, with practical knowledge of LLM-driven or agentic systems.Proven expertise with platforms such as Gemini Enterprise, Agentforce, Sierra.AI, or DevRev.Strong understanding of AI security, governance, and testing frameworks.Exceptional communication and stakeholder management skills, capable of conveying complex AI concepts in business terms.Experience in defining AI/ML governance policies or technical standards is advantageous.LocationThis role is based in Chicago, IL and follows a hybrid work model (3 days in the office recommended).BenefitsAs our company expands, significant career development opportunities are available. This position offers a unique chance to be part of a small yet rapidly growing and challenging environment.

Transparent Partners is a forward-thinking consultancy dedicated to enhancing customer experiences through innovative marketing strategies. Our mission is to uncover the distinct blend of data, technology, and operational processes that will enable brands to excel in the dynamic marketing environment.Practice OverviewThe Data and Analytics (D&A) Practice is centered on projects that delve into customer data strategy, management, analytics, and performance measurement. Our D&A team designs, implements, and operationalizes capabilities to collect, analyze, and interpret data, delivering insights that inform critical business decisions. We assist companies in spotting opportunities for growth, optimization, and enhancement of customer experiences.Position OverviewWe are in search of a highly motivated and entrepreneurial data and analytics expert with a proven history of developing and delivering data, measurement, analytics, and related technology solutions. As a key contributor to the Data & Analytics (D&A) team at Transparent, a Principal must remain informed about the latest trends in commercial measurement, data analytics strategy, and supportive technology solutions, including emerging capabilities that empower our clients to advance their marketing functions. Beyond technical analytics execution, candidates should possess an understanding of client needs, the ability to create and identify solutions, and the skill to organize strategies centered around customer outcomes, ensuring value delivery to our clients. This role will involve collaboration with our Marketing Strategy & Operations and Technology teams to weave D&A elements into comprehensive deliverables.

Join our innovative team at Sonsoft Inc. as a Cloud Analytics Specialist specializing in Big Data and Hadoop technologies. In this pivotal role, you will leverage your expertise to develop advanced analytics solutions that enhance our clients' decision-making processes. Your contributions will directly impact our strategic objectives, making this an exciting opportunity for a professional looking to make a difference in the field of data analytics.

Tiger Analytics is a leading advanced analytics consulting firm, recognized for our expertise in empowering Fortune 1000 companies to derive significant business value from data. Our team of consultants excels in Data Science, Machine Learning, and AI, consistently delivering innovative solutions that meet the evolving needs of our clients. Our contributions have garnered recognition from prominent market research firms, including Forrester and Gartner.If you are excited about tackling complex business challenges through data-driven insights, we invite you to join our team.We are seeking a results-oriented Senior Analytics Consultant with a robust background in healthcare payer data, alongside technical proficiency in SQL and Python. In this pivotal role, you will collaborate closely with stakeholders to extract insights from intricate datasets, devise impactful data solutions, and facilitate strategic decision-making within healthcare payer organizations.

About Flywheel Digital Flywheel Digital delivers a broad range of digital commerce solutions for global brands, helping clients grow sales, market share, and profitability across major online marketplaces. The team operates across the Americas, Europe, and APAC, offering near real-time performance insights and a collaborative environment that supports both career growth and meaningful impact. Role Overview: Senior Measurement & Analytics Specialist The Senior Measurement & Analytics Specialist joins the Commerce Intelligence department in Chicago. This role focuses on helping clients understand and improve their digital experiences through data-driven insights. The position calls for someone who enjoys working with complex data, translating digital behaviors into clear recommendations, and learning new tools and methods. What You Will Do Implement accurate tagging across digital platforms to capture user behavior Develop and maintain dashboards that track performance metrics Create measurement frameworks to turn digital activity into actionable insights Work closely with UX, Creative, Strategy, and Development teams to improve customer engagement on key digital properties Communicate findings and recommendations clearly to internal teams and clients Location Chicago, Illinois, United States

Role Overview Tiger Analytics is hiring an Associate Director of Data Products focused on the health insurance sector in Chicago, Illinois. This role centers on developing and refining data products that support the changing needs of health insurance clients. What You Will Do Lead cross-functional teams to build and optimize data-driven products for health insurance use cases. Collaborate with stakeholders across the business to align product direction with industry needs. Apply advanced analytics and product management experience to improve offerings and drive better outcomes for customers. Shape the roadmap and strategy for data products, using both technical and strategic insight. What Sets This Role Apart This position combines leadership, hands-on analytics, and product strategy. Success depends on both technical depth and the ability to work across teams to deliver solutions for the health insurance market.

Join Tiger Analytics as a Client Partner / Account Director, where you will lead our analytics consulting efforts and drive impactful solutions for our clients. Your expertise in analytics will enable you to build strong relationships, understand client needs, and deliver tailored strategies that optimize their performance.

Accordion’s AI Data Specialist role sits within the Data & Analytics team, supporting private equity clients and their portfolio companies across sectors such as Retail, Consumer Packaged Goods, Healthcare, Media & Entertainment, Technology, and Logistics. This position is based in any of Accordion’s U.S. offices, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, or San Francisco, and follows a hybrid work model with up to two remote days per week. Candidates should reside near their selected office. Immigration sponsorship is not available. Role overview The AI Data Specialist works as part of an AI-enhanced delivery team, collaborating with AI engineers, data scientists, and product managers. The team’s mission is to transform financial operations for companies backed by private equity. The Data Specialist ensures that data is integrated, navigates complex data environments, and helps make information actionable to support client financial operations. Collaboration and focus This role involves close work with the Accordion Intelligence Lab, a group of software and AI engineers dedicated to advancing agentic-AI technologies. The Lab develops and maintains AI systems that underpin Accordion’s consulting work, including agentic architectures and production observability frameworks. AI Data Specialists contribute to building scalable, reliable tools that directly impact private equity clients and their portfolio companies. About the team The Data & Analytics group at Accordion brings together industry knowledge, advanced technology, and analytical skills to solve complex business problems. Team members deliver intelligent solutions and work in a collaborative, supportive environment alongside more than 1,400 finance and technology professionals.

Role Overview purchasingplatform is hiring a Director of Data Strategy & Analytics for its Chicago office. This hybrid position calls for a leader who can set direction for data initiatives and translate analytics into business value. The role focuses on improving decision-making and strengthening operational results through data. Key Responsibilities Lead the development and execution of company-wide data strategy Drive analytics projects that inform business decisions and improve performance Work closely with teams across the organization to identify and deliver data-driven solutions Oversee the rollout and adoption of advanced analytics tools and methods Maintain high standards for data integrity and ensure data is accessible where needed Location This is a hybrid role based in Chicago, IL.

Join Our Award-Winning Marketing Sciences Team!About RAPP:RAPP is a global leader in precision marketing, dedicated to driving growth through empathy and innovation. We harness the power of data, creativity, and technology to craft personalized marketing solutions that resonate with individual clients. Our culture champions diversity and inclusivity, fostering a workplace where every voice is valued.Our Approach:At RAPP, we excel in connected data, content, and decision-making. Our talented team of data analysts, strategists, technologists, and creatives work collaboratively to create meaningful customer connections that elevate brand experiences.Your Role:As the Director of Analytics Enablement, you will play a pivotal role in optimizing our analytics processes across client projects. You will provide expert consultation and develop technical solutions that meet measurement and reporting objectives. Your expertise in data collection from various platforms—including ESPs, digital media, web analytics, and tag management systems—will ensure that we maintain accurate tracking architectures and conventions.Your Responsibilities:Engage directly with clients and partners, fostering trust through effective communication and thorough documentation.Create impactful client-facing documents, including presentations, business requirements documents (BRDs), use cases, and issue post-mortems.Educate clients and colleagues on industry analytics trends and data privacy matters, such as cookie loss, Apple MPP, consent management, and the implications of AI in digital measurement.Conduct comprehensive client discovery sessions to understand specific analytics needs.

imc seeks a Senior Data Analyst specializing in People Analytics for its Chicago office. This position centers on using analytical expertise to guide strategic decisions within human resources. The analyst will engage with large and complex data sets, using advanced techniques to identify key patterns and trends that affect people-related outcomes. Key responsibilities Analyze and interpret extensive HR data sets, often with multiple variables and sources Translate findings into actionable insights to enhance HR processes Provide data-driven recommendations that support strategic decision-making in human resources Role focus This role emphasizes uncovering trends and supporting HR initiatives with clear, evidence-based analysis. The Senior Data Analyst will play a central part in shaping how people data informs business strategy at imc.

84.51° applies advanced data science to retail, supporting The Kroger Co. and partners with insights, loyalty marketing, and retail media products. The company draws on first-party data from over 62 million U.S. households through the Kroger Plus program, aiming to create more personalized shopper experiences. This position requires working in the office five days a week to foster collaboration and team connection. Role overview The Lead Data Scientist, Relevancy Sciences, joins a team focused on building and refining the science behind search and recommendation systems for Kroger’s e-commerce platforms. The team’s work shapes digital experiences for millions of customers, aiming for relevant, personalized, and scalable interactions across Kroger’s digital channels. What you will do Technical leadership and influence: Lead projects in search and recommendation systems, shaping scientific strategy to improve content discovery, relevance, personalization, and decision support. Identify impactful opportunities, clarify technical trade-offs, and guide the team toward practical, scalable solutions. Rapidly prototype and validate new ideas to demonstrate measurable value. Develop innovative search and recommender systems: Design and implement machine learning solutions for the grocery retail sector. Drive systems that enhance product discovery and personalization throughout the customer journey. Provide leadership in next-generation personalization, including Generative AI and agent-based approaches. Location This position is based in Cincinnati, OH or Chicago, IL.

Tiger Analytics is a leading advanced analytics consulting firm, recognized as a trusted partner by numerous Fortune 100 companies in leveraging data to drive substantial business value. Our team comprises highly skilled consultants with extensive expertise in Data Science, Machine Learning, and Artificial Intelligence. Acknowledged by prestigious market research firms like Forrester and Gartner, we are headquartered in Silicon Valley, with a global delivery center situated in Chennai, India. If you have a passion for tackling unstructured business challenges through data and are driven to build, lead, and empower a team of analytics professionals, we invite you to join us.We are in search of a seasoned AI Technology Partner with over 18 years of experience to spearhead enterprise-level AI and data transformation projects. This pivotal role combines profound technical acumen with strategic business leadership, aimed at fostering innovation, developing scalable AI ecosystems, and delivering quantifiable business outcomes across client engagements.Key Responsibilities:Serve as a trusted advisor to C-level executives, shaping AI strategy, roadmaps, and transformation initiatives that align with organizational objectives.Oversee the complete delivery of AI/ML solutions, encompassing data exploration, modeling, deployment, monitoring, and ongoing enhancements.Design and execute scalable data platforms (lakehouse, data mesh) and AI ecosystems using cloud technologies (AWS, GCP, Azure).Champion advanced analytics, machine learning, and Generative AI use cases, including natural language processing, forecasting, optimization, and recommendation systems.Establish and expand MLOps practices, incorporating CI/CD pipelines, model governance, observability, and lifecycle management.Convert intricate business requirements into technical specifications, such as data models, transformation logic, and STTM.Lead large, interdisciplinary teams across data engineering, data science, and analytics disciplines.Promote responsible AI practices, ensuring model explainability, fairness, privacy, and regulatory compliance.Identify new business prospects, engage in pre-sales activities, solution development, and thought leadership initiatives.Mentor senior talent and cultivate high-performing AI and data teams.Qualifications:Minimum of 18 years of experience in AI, data science, analytics, or data engineering, with a substantial background in consulting/services.Demonstrated success in leading large-scale AI and data transformation initiatives for enterprise clients.In-depth knowledge of machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Strong programming capabilities in Python and SQL, along with experience in distributed data processing (e.g., Spark).Extensive familiarity with contemporary data platforms and tools (e.g., Databricks, Snowflake, BigQuery, dbt).