• Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform • Establish architectural standards, design patterns, and best practices for all data domains • Lead technology evaluation and selection for the cloud-native data platform stack • Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities • Design metadata management, data lineage, and access control frameworks in line with governance requirements • Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level • Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers • Represent data architecture in cross-functional forums, aligning platform decisions with business strategy

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We are seeking a North America-based Data Solutions Lead to drive growth through client-facing solutioning, pre-sales support, and technical delivery leadership in our Consumer Business Unit, which supports clients in the Retail, Restaurant, Hospitality, and Consumer Goods verticals. This is a highly visible, commercially focused role, with success measured by influence on pipeline growth, the ability to support and close complex Data opportunities, and drive delivery excellence in execution. The role includes an expectation of approximately 50% billable involvement in client programs with the balance being dedicated to overseeing early-stage client engagements, pursuit support, and data solution development continuity. The Data Solutions Lead will operate directly in new business pursuits and client engagements, shaping solutions with clients, translating business needs into credible, executable architectures, and leading teams to deliver those solutions. Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Role and Responsibilities - Partner closely with Sales and Client Partners to drive data solutions growth through client-facing solutioning and active pursuit support across the Consumer BU verticals - Lead data solution design in client conversations, shaping technical approaches, scope, and value propositions aligned to client business outcomes - Experience leading client-facing data transformation initiatives or consulting engagements. - Operate as the technical authority for data architecture, guiding engineering teams and influencing executive stakeholders. - Serve as the primary data solution credibility lead in Consumer pursuits, influencing deal direction, supporting pipeline progression, and helping close complex opportunities - Support proposal development, including defining technical approaches, delivery models, estimates, and value cases for data engagements - Facilitate workshops with client stakeholders and data teams to define and plan solutions in support of pursuits and billable client programs - Translate solution designs from pursuits into clear, actionable handoffs for delivery teams to ensure alignment between what is sold and what is delivered - Maintain an active billable role at approximately 50%, providing hands-on architectural oversight and delivery involvement to support solution continuity and delivery excellence - Engage directly with client stakeholders and data teams, building trusted relationships and using data science strategies to develop solutions - Collaborate with multidisciplinary teams across data engineering, analytics, cloud, and AI to ensure proposed solutions are feasible, scalable, and aligned to Bounteous capabilities - Available for frequent travel to client sites for meetings, workshops, and pitches Preferred Qualifications - Significant experience in data consulting or professional services environments, with a strong emphasis on client-facing solutioning and pre-sales support - Demonstrated success supporting and closing data opportunities through technical leadership, architecture ownership, and active participation in sales pursuits - Experience supporting clients in at least one of the Consumer BU verticals (Retail, Restaurant, Hospitality, and Consumer Goods). - Experience supporting both B2C and B2B client programs strongly preferred - Strong background architecting real-world data solutions using modern platforms such as Databricks and or Snowflake, with experience across at least one major cloud provider such as AWS, Azure, or GCP - Ability to clearly articulate technical decisions, trade-offs, and execution considerations to both technical and non-technical stakeholders - Comfort operating in a commercially-driven role where success is measured by growth impact, pipeline influence, and revenue contribution - Strong executive presence and communication skills, with the ability to lead client conversations independently and partner closely with Sales and Client Partner leaders - Experience operating in fast-moving consulting environments with limited structure, including comfort remaining hands-on when needed We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote

Role Description The Data Insights Strategist plays a critical, hybrid role within our Data & Analytics team, blending diagnostic analysis, statistical modeling, storytelling, and strategic impact. This role is designed for a curious, technically capable problem-solver who can uncover insights, validate hypotheses, and translate data into business value. The Data Insights Strategist will be instrumental in helping drive measurable outcomes across our investment streams by supporting test-and-learn initiatives, developing ROI models, and delivering strategic analyses that turn complex data into clear, actionable guidance for leaders across the organization. This role requires a blend of analytical rigor, data fluency, and strong communication skills. - Partner across investment streams, product lines, and functional teams to uncover insights that drive business growth, retention, and efficiency. - Lead ROI and value realization analysis for strategic initiatives, pilots, and programs. - Translate data into structured analyses, models, and executive-level narratives that guide decision-making. - Design and evaluate experiments (e.g., A/B tests, pilots) to support data-informed innovation. - Develop forecasting and predictive models using Python, R, or similar tools (basic to intermediate level). - Collaborate with Data Governance and Engineering to elevate data quality and availability for strategic use. - Proactively identify cross-functional trends and surface them through clear, compelling data stories via dashboards, visualizations, and presentations tailored to business and executive audiences. - Contribute to a culture of continuous improvement, insight activation, and decision enablement. - Build and interpret basic to mid-level predictive or statistical models to support key business initiatives. - Use tools such as Python, R, or Posit Workbench to explore and analyze complex datasets. - Collaborate cross-functionally to ensure insights are aligned with strategy and result in real-world action. - Design and analyze experiments to measure the impact of strategic initiatives and process improvements. - Establish measurement frameworks and hypotheses to support continuous improvement and data-driven decisions. - Work closely with BI, data science, and business partners to ensure alignment and consistency in data use. - Translate complex analytical concepts into practical applications for broader business teams. - Champion data-driven thinking to prioritize efforts that yield the highest return on investment. Qualifications - 5+ years in data analytics, business analysis, or a related field. - Insurance industry experience preferred. - Strong analytical and storytelling skills with demonstrated experience influencing decisions. - Solid understanding of statistical methods and experimentation (e.g., A/B testing). - Proficiency in SQL, R, and Python, data visualization tools (e.g., QuickSight, Tableau, Power BI), and analytical techniques. - Experience working with integrated development environments (IDE), such as Databricks preferred. - Comfortable drawing conclusions and making decisions with incomplete or ambiguous information. - Experience combining internal and external data for in-depth industry analyses. - Strong communication skills with the ability to simplify complex topics and influence cross-functional stakeholders. - Must have excellent organization and time management skills. - Ability to learn on the fly and grasp new concepts quickly. - Expert Microsoft Office skills. Requirements - Remote: This role is a remote (work from home (WFH)) opportunity, and only open to candidates currently located in the United States and able to work without sponsorship. - It requires a suitable space that provides a private and quiet workplace. - Expected Work Hours: Schedules are set to accommodate the requirements of the position and the needs of the organization and may be adjusted as needed. - Travel: May be required to travel to off-site location(s) to attend meetings, as necessary. Benefits - Salary Range: $90,000 - $130,000 and a comprehensive benefits package. Company Description As a dynamic, fast-growing provider of workers' compensation insurance and services, we are seeking a goal-oriented individual willing to put their ideas to work! We offer a positive, challenging work environment, combined with an opportunity to build your career as you help us grow our business, in innovative and imaginative ways that are uniquely EMPLOYERS! Headquartered in Nevada, EMPLOYERS attributes its long-standing success to its most valuable resource, our employees across the United States. EMPLOYERS is known for the quality service and expertise we provide to our clients, and the exemplary work environment we provide for our employees. We live and breathe our core values: Integrity, Customer Focus, Collaboration, Initiative, Accountability, Innovation, and Personal Fulfillment. These are the pillars that support how we do business with our clients as well as how we treat each other! At EMPLOYERS, you’ll discover an energetic environment that inspires top achievement. As “America’s small business insurance specialist”, we have the resources, a solid reputation and an expanding nationwide identity to enrich your work/life and enhance your career.

Role Description You will join Guidewire’s Product organization, working at the intersection of data, AI, and cloud infrastructure to power our industry-leading P&C insurance platform. Our team focuses on building secure, scalable, and governed data capabilities that enable AI-infused products and analytics for customers worldwide. We collaborate across Product Development, Security, and Finance to ensure our data platform is robust, reliable, and ready for rapid innovation. In this role, you will design and automate modern data infrastructure on AWS to support Guidewire’s AI-first Product strategy, including Agentic AI Platform initiatives and next-generation analytics experiences. You will lead DataOps practices—CI/CD, observability, and governance—for critical pipelines and data products that power our Claims, Underwriting, and pricing solutions globally. If you are excited by GenAI, large-scale data systems, and building the backbone that helps insurers operate more efficiently, this role puts you at the center of Guidewire’s mission to transform how the world’s P&C insurers do business. Qualifications - Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement. - 5+ years of experience in Data Engineering, Data Operations, or Platform Engineering building and operating cloud data infrastructure. - Deep proficiency with AWS (e.g., S3, EMR, Glue, Lambda, Redshift) and infrastructure-as-code (Terraform strongly preferred; CDK a plus), including designing secure, resilient architectures. - Strong experience with dbt in production (modeling, testing, documentation, deployment) and modern table formats such as Apache Iceberg for large-scale analytics. - Advanced SQL skills (performance tuning, complex joins and window functions) and solid Python experience for automation, orchestration, and data engineering tasks. - Hands-on experience with Apache Spark for large-scale batch or streaming workloads, ideally on AWS EMR or Glue. - Proven track record of building or maintaining CI/CD pipelines (Git-based workflows, automated testing, deployment, and monitoring) for data and analytics workloads. - Strong systems thinking and data modeling skills (e.g., Kimball, Data Vault) and familiarity with integrating RDBMS data via CDC patterns. - Clear, collaborative communication style with the ability to work across product, security, and business stakeholders in a distributed environment. Requirements - Experience leveraging Claude Code, LLM-based agents, or other agentic AI tools to automate infrastructure provisioning, refactoring, or documentation workflows. - Background working with MLOps platforms such as SageMaker, especially around feature stores and data contracts between data engineering and ML teams. - Experience in a regulated environment (Finance, Insurance, or similar) and familiarity with P&C insurance data concepts (policies, claims, billing, rating, underwriting). - Exposure to Redshift performance tuning, workload management, and cost optimization in enterprise settings. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Your Impact We believe in clarity and setting you up for success. In your first six months, you will take ownership of key AWS-based data environments, stabilize and enhance existing dbt/Glue/Spark pipelines, and introduce AI-augmented workflows that reduce operational toil and improve developer productivity. You will help Product Strategy and PDO deliver reliable, trusted data for AI-powered products like the Agentic AI Platform and Claim Summary, while aligning with security and governance priorities for a global P&C customer base. Over time, your work will shape how Guidewire’s customers access, trust, and use data—directly influencing product quality, operational excellence, and our mission to transform how insurers serve their policyholders worldwide. Benefits - Flexible work environment - Health and Wellness benefits - Paid time off programs including volunteer time off - Market-competitive pay and incentive programs - Continual development and internal career growth opportunities