Role Description As a Data Protection & Microsoft Purview Specialist, you will collaborate closely with various IT teams or clients to ensure robust protection of data across both cloud and on-premise environments, leveraging Microsoft Purview. Your responsibilities will include: - Designing and implementing data protection strategies. - Ensuring compliance with data privacy regulations. - Integrating Microsoft Purview with other security and data management solutions. - Monitoring data environments and identifying and mitigating risks. - Ensuring that data protection measures are in line with best practices and organizational policies. - Advising on data protection strategies and policies to ensure comprehensive data security. Qualifications - Understanding of cybersecurity principles and data protection best practices. - Experience with design, implementation and/or operation of a data protection solution, e.g. data loss prevention, data classification or information protection. - Consistent, reliable, and professional personality with a sense of ownership, capable of working within international & diverse teams. - Excellent interpersonal, verbal, and written skills: ability to clearly and concisely articulate issues, alternatives, and recommendations. - Proficiency in Czech and English, as you will use both languages in communication with clients. Requirements - Familiarity with Microsoft Purview, Microsoft Information Protection, and other Microsoft security and compliance tools. - Microsoft security certifications, such as SC-100, SC-200, SC-300, SC-400 etc. - Experience with data governance. - Experience in implementing and managing data protection and compliance frameworks. - Knowledge of regulatory requirements related to data privacy and protection. - Understanding of data lifecycle management and data retention policies. - Hands-on experience with auditing data access and data activity monitoring. - Advanced knowledge of encryption technologies and secure data storage practices. - Experience with conducting data protection impact assessments (DPIAs) and managing data breach incidents. - Familiarity with industry standards and frameworks such as GDPR, CCPA, ISO 27001, and NIST. - Project management skills. - Proficiency in German language. Benefits - Concentrated experience and rapid career growth. - Paid time off: 20 + 5 days, 3 wellbeing days, and 2 extra days off from the company at the end of the year. - High-end Ultrabook and iPhone with unlimited data. - Flexible working hours. - Work from our offices in Prague, Brno, or Ostrava, or choose to work from home. - Benefit program with 30,000 - 45,000 points depending on the level of your seniority. - Support for your education and development: business and digital trainings, technical certifications (e.g. SANS). - Possibility of Secondments - opportunity to work at a foreign PwC office in the future. - Extra-work activities and Away Days (team building, ski weekend, etc.). - Regular feedback on your work, also consultation with a coach for further development and career direction.

Role Description The Encounter Data Management Lead defines and implements best practices to collect, integrate, analyze, and transform raw data into actionable business intelligence. In this position, you will ensure that all encounter submissions exceed compliance standards through advanced data analysis, rigorous quality assurance, and the development of tools to optimize encounter acceptance rates. The Lead Business Intelligence Engineer identifies opportunities to produce applicable insights and enhance submission processes. This role collaborates with partners to design and refine workflows, addresses complex data and process challenges, and leads by example in project execution and technical innovation. This position also promotes a culture of knowledge sharing and continuous improvement, supporting the team's overall success. The Lead Data Management position is a senior member of the Encounter Submission organization and is responsible for accomplishment of strategic goals, operational efficiency, and compliance. You will collaborate with partners to design and refine workflows, address complex data and process challenges, and lead by example in project execution and technical innovation. This position is instrumental in building a high-performing, collaborative, and innovative Business Intelligence team that delivers strategic value to the organization. Key Responsibilities: - Identify, evaluate, and lead strategic intelligence programs that improve long-term goals. - Lead the analysis and resolution of data challenges, critically assessing situations, and applying organizational resources to build resilient and scalable code, dashboards, and data solutions. - Develop a range of technical solutions, including Python scripts, SQL queries, Databricks notebooks, Azure DevOps pipelines, Power BI dashboards, and process automations. - Support compliance, advancing operational efficiency, and ensuring the execution of strategic team goals. - Mentor and guide junior Business Intelligence team members, encouraging technical and professional development. - Translate complex requirements into clear technical specifications. - Support partners by addressing data issues, performing root cause analysis, and proposing applicable resolutions. - Present clear and meaningful insights to internal and external partners, adapting communications for varied audiences. - Advocate and guide continuous improvement in data processes, data quality, and data management practices. - Promote a culture of innovation, collaboration, and best practices within the BI team. Qualifications - Bachelor's degree in a technical field. - Proven ability developing initiatives and leveraging insights to influence strategic decisions. - 6+ years of experience researching complex datasets, including working within the healthcare industry, to identify process optimization, areas of improvement, and limitations. - Experience building and implementing forecasting and/or time series models using Python or R. - Experience developing and maintaining complex machine learning frameworks. - Experience collaborating with, and presenting to, internal teams and key stakeholders to demonstrate impactful solutions to optimize processes. - Experience performing as a Subject Matter Expert, guiding junior team members toward strategic solutions. - Create reports, projections, models, and presentations to support business. Preferred Qualifications - Master's degree in a technical field. - Experience with data governance frameworks and BI (Business Intelligence) best practices. Work at Home Requirement - To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service must meet the following criteria: - At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. - Satellite, cellular and microwave connection can be used only if approved by leadership. - Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. - Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. - Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. - Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $94,900 - $130,500 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Benefits - Humana, Inc. and its affiliated subsidiaries offer competitive benefits that support whole-person well-being. - Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family. - Benefits include medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance, and many other opportunities. Application Deadline 06-18-2026

Role Description We are looking for a Data Engineer to partner with our analytics and data science team to build efficient data pipelines that power insightful data products, dashboards, and analysis. You will be contributing to efforts to improve our data infrastructure and ensure that our end users can focus on analytic processing rather than data inputs and infrastructure. - Design, develop, own, and evolve the data, APIs, and pipelines that power our data platform. - Engineer robust, scalable, and efficient data pipelines. - Build analysis-ready datasets that power analytic techniques like regression, classification, clustering, etc. - Work with diverse data sources including satellites, UAVs, agricultural machinery, and IoT devices. - Identify continuous improvements with a clear understanding of business impact. - Be a team player that everyone wants to work with. - Be a trusted partner to other engineering and science teams throughout R&D. - Develop with a focus on comprehensive testing and automation. - Debug client/server applications and troubleshoot integration issues. Qualifications - You have broad and deep experience with the Python programming language and its ecosystem of tools and libraries. - You have experience with big data and cloud computing technologies (preferably AWS). - You are experienced with both SQL and ORMs. - You are comfortable with UNIX-based systems and working on the command line. - You are good at translating users' needs into actionable technical tasks. - You put effort into clear technical and non-technical communication, and appreciate working with others who do the same. - You have a passion for learning and working in a collaborative team environment. Requirements - Experience working with geospatial datasets. - Experience building scientific data visualizations. - Experience building and deploying containerized applications. - Experience contributing to open source projects. - Interest in working adjacent to data science and other scientific domains. Benefits - Numerous development opportunities offered to build your skills. - Be part of a company with a higher purpose and contribute to making the world a better place. - Health benefits for you and your family on your first day of employment. - Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays. - Excellent parental leave which includes a minimum of 16 weeks for mother and father. - Future planning with our competitive retirement savings plan and tuition reimbursement program.

• Design, develop, and implement Master Data Management solutions using Informatica SaaS platform • Collaborate with cross-functional teams to gather MDM requirements and translate them into technical MDM solutions • Develop and maintain data integration interfaces with various source systems using IICS REST APIs • Build roadmap for MDM and data governance policy • Build and maintain MDM processes, workflows, and data models • Perform data analysis and build data quality rules and error handling mechanisms • Collaborate with stakeholders to define and enforce data governance policies, standards, and best practices • Provide technical guidance and mentorship to junior developers