• Lead tailored product demonstrations of the CoverGo platform across health, life, and P&C use cases, adapting the story to each insurer's priorities • Design and facilitate discovery calls, solution-design sessions, and client workshops to understand, analyze, and clarify requirements and scope • Build and configure proof-of-concept insurance products in the CoverGo platform to showcase capabilities and features to clients • Use AI tools (e.g. LLMs, prompt engineering, AI-assisted research) as a core part of the workflow — to generate demo scripts, draft RFP/RFI responses, produce proposals, and accelerate content turnaround across the presales cycle • Partner with the Sales team throughout the sales conversion process, providing solution consulting that advances and closes opportunities • Translate client requirements into solution overviews, value propositions, and techno-commercial proposals • Collaborate with Solutions Architects, Product, and Engineering/Delivery teams on feasibility, effort estimation, and the best solution approach for each client • Support the handover to the Delivery team once deals are closed-won, and help lead project kick-off meetings • Provide enablement and training to develop clients' usage of the platform through technical information and guidance • Build and maintain a reusable library of demo assets, templates, and a presales knowledge base to scale the function and reduce repeat effort • Any other task that may be assigned

Develop and maintain expertise in data assets and product architecture. Translate complex data capabilities into client solutions, ensuring quality and adoption while collaborating across teams to support new product development and market needs.

• Partner with sales teams to understand business needs, strategic priorities, and technical constraints; map those to DataRobot capabilities, with tailored messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners) • Deliver engaging, outcome-oriented demos for both new prospects and existing customers; help shape and refine use cases based on maturity, need, and strategic alignment • Define key technical requirements, recommend deployment models that meet specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities • Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations and standards • Provide structured feedback on specific needs, procurement hurdles, and technical blockers to Product, Marketing, and Enablement teams—ensuring DataRobot’s offerings remain relevant in the market • Act as a trusted advisor across the sales team by supporting Regional Director and Account Executives with the technical knowledge and assets that advance AI adoption

Role Description The MDM Solutions Developer is responsible for developing and supporting the Master Data Management (MDM) solution that enables data-driven decision making across the organization. This role builds and maintains master data rules, workflows, data models, and integrations that help business partners reduce risk, improve data quality, and increase the usability of enterprise data. The ideal candidate combines technical expertise with strong problem-solving skills and a passion for delivering scalable data solutions. - Design, configure, deploy, administer, and support the MDM solution, including third-party enrichment sources across enterprise domains. - Integrate, transform, and consolidate data from disparate source systems into structures suitable for MDM solutions. - Develop and refine ingestion processes, data quality rules, transformations, matching, merging, and survivorship logic. - Participate in technical discovery sessions and requirements gathering activities. - Build data quality and profiling datasets to support quality assessments and reporting. - Develop and monitor processes and tools to analyze model performance and data accuracy. - Participate in code reviews, debugging, and problem-solving activities. - Troubleshoot and resolve issues related to workflows, models, and datasets. - Design, develop, manage, and monitor data ingress and egress between source systems and the MDM platform. - Deliver assigned user stories and tasks within established timelines. - Utilize various programming languages and tools to query databases, create scripts, and integrate data across systems. - Ensure technical documentation and artifacts remain accurate and up to date. - Participate in architecture reviews and proof-of-concept initiatives. - Collaborate with cross-functional teams to deliver data models that support analytics solutions. - Assist business stakeholders with standards, policies, and governance requirements. - Provide mentorship and guidance to junior MDM Solutions Developers and business partners. Qualifications - Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field. - 3+ years of experience working with master data management solutions. - Knowledge of MDM strategies, principles, and technologies. - Experience developing data movement processes, business rules, and workflows within enterprise MDM platforms, preferably Informatica IDMC. - Experience with data profiling, data modeling, and data quality tools. - Knowledge of T-SQL, Python, PySpark, Spark SQL, and DAX. - Experience using source control and CI/CD tools, preferably Azure DevOps and Git. - Proven ability to quickly learn and adopt new technologies. - Strong ability to translate business requirements into scalable technical solutions. - Ability to balance urgent business priorities with long-term strategic initiatives. - Strong analytical and problem-solving skills, including researching and recommending solutions. Requirements - Experience with Azure Synapse, Azure Data Factory, or Microsoft Fabric. - Experience with data visualization tools, preferably Power BI. - Experience working within enterprise-scale data governance and data management environments. - Ability to influence and support business stakeholders in adopting data management best practices. - Experience mentoring junior team members and contributing to technical leadership initiatives. Benefits - Excellent time away from work programs. - Comprehensive wellness initiatives. - Recognition through competitive pay and benefits. - Opportunities for personal and professional growth. - Commitment to community impact, including volunteer days and charity initiatives.