• Lead data platform strategy and execution • Partner with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes • Own the Snowflake data lake end to end • Develop, maintain, and evolve the platform and its associated services — from ingestion to serving • Build governance that actually works • Drive cross-functional data initiatives

Role Description We are looking for a Data Architect to join our growing team. This role is ideal for professionals who are passionate about designing scalable data solutions, defining strong data structures, and partnering closely with technical and business teams to support enterprise data initiatives. You will be involved in shaping data models, guiding warehouse design, and helping ensure reliable, well-structured data flows across systems. Key Responsibilities: - Design and maintain enterprise data models, including conceptual, logical, and physical models for analytics and operational use cases. - Define and support dimensional modeling approaches for data warehouses, data marts, and related reporting structures. - Collaborate with analysts, engineers, and stakeholders to translate business requirements into scalable data architecture solutions. - Create and refine source-to-target mappings, transformation logic, and data flow documentation across multiple data layers. - Partner with development teams to validate data movement, transformation rules, and model alignment from source through warehouse layers. - Support modernization and migration efforts involving cloud-based data platforms, lakehouse architectures, and evolving enterprise data environments. - Promote data standards, architectural patterns, and best practices for quality, consistency, performance, and maintainability. Qualifications - Experience in data architecture, data modeling, and enterprise data warehouse design. - Strong knowledge of dimensional modeling concepts, including fact and dimension design and slowly changing dimensions. - Proficient in SQL and comfortable using it for data analysis, profiling, validation, and transformation review. - Familiar with source-to-target mapping, data lineage, and documenting complex data flows across multiple systems. - Exposure to cloud or modern data platforms, such as Azure-based environments, lakehouse architectures, or similar technologies. - Understanding of ETL/ELT processes, integration patterns, and working with structured and semi-structured data formats such as XML. - Experience collaborating with cross-functional teams and communicating architectural decisions clearly. - Strong problem-solving skills and the ability to adapt to existing standards, patterns, and business processes. Benefits - Fully remote – work from anywhere in the Philippines - Collaborative, high-performing engineering culture - Work on scalable, real-world systems with modern architecture

Role Description You will be joining our Data & Automation Services team, a unit that sits at the intersection of data at scale and manual workflows requiring domain knowledge. The role spans two complementary tracks: - Conferences, where you will own the scraping pipeline and the run-rate of upcoming conference coverage. - Cross-vertical automation and data work for the wider business, ranging from ad hoc data extraction to one-off projects. For this, you will: - Maintain an active run-rate of upcoming conferences and continuously grow conference coverage on the platform. - Perform end-to-end delivery of one-off projects and recurring automation workflows. - Investigate and identify potential trade fairs and assess the value of scraping their exhibitor lists as well as researching additional data points. - Set up and run web scrapers using tools like Octoparse and Firecrawl to extract exhibitor lists and relevant information for projects. - Regularly update and maintain the content management system to ensure the information remains up-to-date and accurate. - Report and communicate problems and come up with solutions that will be integrated into a worldwide feature. - Communicate with internal stakeholders in a guided manner to define project requirements for cross-vertical work. - Support ad hoc data extraction and reporting requests from the wider business, working from a read-only dataset (e.g. monthly reporting, data completeness and accuracy reports). - Contribute to one-off AI-driven data gathering projects (e.g. extracting HQ locations for investors, advisors and lenders, or pulling financial information from annual reports). - Support internal tech-forward initiatives, such as Slack and Notion integrations that streamline analyst workflows. As this is a newly-shaped team and process, there is ample opportunity for you to refine and improve how we work — and to grow alongside it! Qualifications - Experience – You have a finished University degree and have experience with Python, scraping, and database management. - Education – You have consistently achieved excellent results from a leading university in a computer science, data science or related field. - Workplace enthusiasm – You showcase a strong interest in project management, database management and data management techniques and possess strong attention to detail. - Languages – You are fluent and articulate in English. Benefits - High-growth fintech scale-up with an international footprint. - Competitive compensation package. - Unmatched learning and career preparation opportunities for private equity, investment banking or consulting. - Clear development path supported by lots of coaching and a feedback-driven approach. - Flexibility to work remotely and leeway around exam periods or deadlines. - Fun working atmosphere with company-wide outings and events. - Culture of trust, ownership and standard of excellence.

Role Description The Supervisor, Encounter Data Management develops business processes to ensure successful submission and reconciliation of encounter submissions to Medicaid/Medicare. Responsibilities include: - Ensuring encounter submissions meet or exceed all compliance standards via analysis of data. - Developing tools to enhance the encounter acceptance rate by Medicaid/Medicare. - Looking for long-term improvements of encounter submission processes. - Making decisions related to schedule, plans, and daily operations. - Performing escalated or more complex work of a similar nature. - Supervising a group of typically support and technical associates. - Coordinating and providing day-to-day oversight to associates. - Ensuring consistency in execution across the team. - Holding team members accountable for following established policies. - Ensuring data integrity for claims errors. - Collaborating with management and top professionals/specialists in the selection of methods, techniques, and approaches. You will report to the Manager, Encounter Data Management. Qualifications - 2+ years Medicare and/or Medicaid claims processing experience. - Internal and external error claim processing. - 2+ years of formal or informal leadership experience. - 1+ years' experience working in CAS, Edifecs, Optum, and similar DOS 835/837 warehouse systems. - 2 years+ of advanced Microsoft Excel (VLOOKUP, Pivot Tables, and ability to create macros). - 1 year+ SQL experience (running queries). Requirements - Demonstrated ability to give direction. - Proven ability to collaborate with multiple departments. - Ability to deliver presentations to senior leadership. Benefits - 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. - Many other opportunities. Additional Information - Work-At-Home Requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. - A minimum standard speed for optimal performance of 25x10 (25mbps download x 10mbps upload) is required. - Satellite and Wireless Internet service is NOT allowed for this role. - 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: $65,000 - $88,600 per year, eligible for a bonus incentive plan based on company and/or individual performance.