Senior Manager, Data Services

Job not on LinkedIn

đŸ”„ 2 hours ago

đŸ‡”đŸ‡Ș Peru – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

đŸ—ŁïžđŸ‡Ș🇾 Spanish Required

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Logo of Stellus Rx

Stellus Rx

201 - 500 employees

Founded 2022

đŸ„ Healthcare

💊 Pharmaceuticals

đŸ€ B2B

Healthcare ‱ Pharmaceuticals ‱ B2B

Stellus Rx is a pharmacist-led clinical pharmacy and digital pharmacy services company that delivers medication access, education, adherence and dispensing support for patients, providers, risk-bearing entities and employer groups. The company emphasizes tailored, pharmacist-driven care (personal pharmacists, condition-specific education, coordinated physician communication), home delivery and convenience packaging, plus white-labeled adherence solutions (Stellus Adhere, Stellus Engage) that integrate with clinical workflows and payer data to drive Medicare Advantage star performance and reduced total cost of care. Stellus Rx holds URAC Pharmacy Services and NBAP Digital Pharmacy accreditations and positions itself as a partner to value-based care platforms and employers to improve outcomes, experience and costs.

📋 Description

‱ Lead a team of Data Services professionals tasked with architecting, developing, and managing our Cloud Analytics Data Platform ‱ Build a modern cloud data stack consisting of Data Lake, Pipelines for ingesting and processing batch and event data, Data warehouses and data linage and cataloging. ‱ Implementation of system improvements and new technologies aimed at data storage, profiling, processing, management, security, and integration into business applications ‱ Understanding of existing business applications to support information and solution architecture ‱ Facilitate the establishment of change management processes to govern data input and maintenance, data stewardship and access control ‱ Work with key stakeholders across the business to develop and manage key master data business processes, ensuring that we collect and maintain accurate information ‱ Develop and own process for evaluating and auditing data quality (establish data quality KPIs, etc.) and providing direction to the business for improvement ‱ Continuously look for data optimization processes and oversee data management, governance, security, and analysis ‱ Maintaining a solid understanding of workflows, data dependencies and translating business, data, and reporting requirements into logical data structures ‱ Hire the best talents, identify the potential of each team member, and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions ‱ Ensure test-driven products/pipelines that are easily maintainable and reusable ‱ Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources

🎯 Requirements

‱ Minimum 5+ years of experience in managing, designing, and maintaining large scale data solutions ‱ Equivalent degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field ‱ Experience managing engineers and guiding them through project planning, design, development, quality control, deployment, and data engineering best practices ‱ Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data ‱ Hands-on experience analyzing, architecting/re-architecting data platforms on Azure/AWS/GCP ‱ Experience designing and implementing data ingestion solutions on Azure/AWS/GCP using different approaches ‱ Must have experience designing and architecting data lakes on cloud platforms. ‱ Knowledge of data security best practices and experience building secure data solutions ‱ Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools ‱ Knowledge of operating NoSQL clusters and event data stores ‱ Strong problem-solving, analytical, critical thinking, and troubleshooting skills ‱ Strong knowledge of AWS tools and technologies ‱ Bilingual in Spanish and English.

đŸ–ïž Benefits

‱ Health insurance ‱ Paid time off ‱ Flexible work arrangements ‱ Professional development

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