Role Description We are looking for an experienced Data & Analytics Practice Leader to drive the growth, delivery, and transformation of the Data & Analytics practice. The role involves leading large-scale data transformation programs, building consulting and pre-sales capabilities, managing client relationships, and developing high-performing teams across data engineering, BI, AI/ML, cloud analytics, and governance. Key Responsibilities - Lead and scale the Data & Analytics practice, including strategy, capability development, and revenue growth. - Drive business development, solutioning, and pre-sales activities for enterprise data and analytics opportunities. - Engage with CXOs and business stakeholders to define data transformation roadmaps and analytics strategies. - Build and manage offerings across Data Engineering, BI & Visualization, Cloud Data Platforms, AI/ML, Data Governance, and Advanced Analytics. - Own end-to-end delivery governance for large data transformation and modernization programs. - Develop reusable accelerators, frameworks, and best practices to improve delivery efficiency and quality. Requirements - Experience in leading large-scale data transformation programs. - Strong background in data engineering, BI, AI/ML, cloud analytics, and governance. - Proven ability to build consulting and pre-sales capabilities. - Excellent client relationship management skills. - Experience in developing high-performing teams. Benefits - Diversity Inclusion: At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. - Nurturing a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. - Promoting flexibility depending on the needs of employees, customers, and the business, including part-time work, working outside normal 9-5 business hours, or working remotely. - Welcome back program to help people get back to mainstream after a long break due to health or family reasons.

Role Description This is a remote position. Superlanet is seeking a Lead Enterprise Data Governance Analyst for our healthcare client in Texas. This is a direct hire opportunity, with preference given to candidates located in Texas; however, remote candidates willing to travel periodically will also be considered. This role will lead the development and operationalization of enterprise data governance frameworks, policies, standards, stewardship models, and governance councils. The focus is on building foundational governance capabilities, not reporting, analytics, or data engineering. The successful candidate will partner with clinical, operational, compliance, research, and IT leaders to improve data quality, integrity, accountability, and regulatory compliance across the organization. Responsibilities - Data Governance & Strategy - Design and implement enterprise data governance frameworks, policies, standards, and operating models. - Establish data ownership, stewardship programs, governance councils, and accountability structures. - Develop governance metrics and promote data literacy and stewardship across the organization. - Drive adoption of governance practices through stakeholder engagement and change management. - Data Quality & Compliance - Establish standards for data quality, lineage, metadata, and master data management. - Partner with stakeholders to resolve data quality issues and improve data consistency and trust. - Ensure governance practices align with HIPAA, HITECH, CMS, Joint Commission, and other regulatory requirements. - Support audit readiness and governance-related compliance initiatives. - Leadership & Collaboration - Serve as the primary liaison for enterprise data governance initiatives. - Influence stakeholders across clinical, operational, research, compliance, and IT teams. - Lead governance projects involving data standards, metadata repositories, governance tools, and stewardship programs. - Provide mentorship and subject matter expertise on governance best practices. Qualifications - Bachelor's degree in Healthcare Informatics, Information Systems, Health Information Management, Data Science, or related field. - 7+ years of experience in data governance, data management, healthcare analytics, or enterprise data strategy. - Proven experience designing and implementing enterprise data governance programs and frameworks. - Experience establishing data stewardship models, governance councils, and ownership structures. - Knowledge of healthcare data standards including HL7, FHIR, X12, DICOM, ICD, CPT, LOINC, and SNOMED. - Experience working with healthcare platforms such as Epic, Oracle Cerner, Meditech, or Athena. - Strong understanding of healthcare regulatory requirements including HIPAA, HITECH, CMS, NIST, and Joint Commission. - Demonstrated ability to lead cross-functional initiatives and influence stakeholders without direct authority. Preferred Qualifications - Master's degree in a related field. - Certifications such as CDMP, DGSP, DGIQ, CHDA, or CHPS. - Experience with Microsoft Purview, Collibra, Informatica, Alation, or similar governance tools. - Experience leading enterprise healthcare data governance or transformation initiatives. Benefits - Salary based on experience $115,000 - $150,000 +

• Lead complex analytical initiatives, including ambiguous problem spaces. • Partner with stakeholders to define KPIs, metrics, and analytical frameworks. • Perform deep-dive analyses using SQL and advanced analytical techniques. • Build executive-facing dashboards and analytical outputs. • Ensure analytical integrity by understanding upstream data models and transformations. • Collaborate with Analytics Engineering to refine data models, metrics, and semantic layers. • Review and provide feedback on analyses from junior analysts. • Drive best practices in analytical rigor, documentation, and storytelling. • Identify opportunities to improve data quality, metric definitions, and analytical workflows. • Contribute to analytics engineering workflows (e.g., reviewing dbt models, suggesting improvements). • Communicate insights through clear visualizations and narratives.

Role Description We are seeking a Research Data Scientist to join an incredible team of researchers in the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology at the University of Colorado Anschutz. Our physicians provide full prenatal care, maternal and fetal disease consultation, prenatal diagnosis, and genetic counseling for patients across Colorado and Wyoming. We are proud to support the Children’s Hospital of Colorado's Colorado Fetal Care Center (CFCC) which specializes in fetal diagnosis and in utero intervention. What sets us apart is our dedication to the development of highly successful Maternal-Fetal Medicine fellows and our commitment to advancing research in the field of Maternal-Fetal Medicine. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. - Design, develop, and maintain high-quality EMR/EHR-based datasets to support retrospective cohort studies and real-world evidence generation - Serve as the database manager for the PARITY database, the Colorado Fetal Care Center, and the Perinatal Research Advisory & Facilitation Committee - Ensure data integrity, traceability, and alignment with study objectives through rigorous validation and documentation - Develop and manage longitudinal datasets to evaluate clinical outcomes, treatment patterns, and health disparities - Serve as a key resource for data strategy and methodological guidance across projects - Contribute to continuous improvement of research data workflows and infrastructure - Mentor junior researchers, medical students, residents, and fellows on study design, cohort development, and analytical methods - Data Scientists are expected to 'own' a project and make meaningful progress, leading to 2+ journal/conference publications per year. Qualifications - Master’s or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field - 5 years of experience in clinical data management, epidemiology, or healthcare data science - Strong experience working with EMR/EHR data systems (e.g., Epic Clarity, Caboodle) - Expertise in retrospective cohort study design and longitudinal data analysis - Proficiency in SQL, SAS, and/or similar analytical tools - Strong understanding of Good Clinical Practice (GCP), IRB processes, and regulatory compliance - Demonstrated experience contributing to peer-reviewed research or academic publications - Applicants must be legally authorized to work in the United States without requiring sponsorship. Requirements - PhD or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field - Advanced skills in statistical programming software (SAS, R, SPSS) - Experience in OB/GYN, perinatal, or population health research - Experience with REDCap or similar clinical research data capture tools - First- or co-author publications in clinical or epidemiological research - Experience working in an academic medical center or research institution - Experience supporting grant-funded research or contributing to grant applications Benefits - Medical: Multiple plan options - Dental: Multiple plan options - Additional Insurance: Disability, Life, Vision - Retirement 401(a) Plan: Employer contributes 10% of your gross pay - Paid Time Off: Accruals over the year (based on percentage of time) - Vacation Days: 22/year (maximum accrual 352 hours) - Sick Days: 15/year (unlimited maximum accrual) - Holiday Days: 11/year - Tuition Benefit: Employees have access to this benefit on all CU campuses - ECO Pass: Reduced rate RTD Bus and light rail service