Analytics Modernization Lead
Job Location:
San Antonio, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Family:
Data Science & Analysis
Travel Required:
Clearance Required:
What You Will Do:
Guidehouse is seeking an Analytics Modernization Lead to lead the modernization of analytic surveillance research and reporting workflows through the adoption of modern statistical computing automation and open-source technologies. This individual will serve as the technical lead responsible for analytics modernization strategy SAS-to-R/Python migration code validation reproducibility standards and modernization governance across complex public health data environments.
The Analytics Modernization Lead will work closely with biostatisticians epidemiologists data scientists and informaticists to ensure legacy analytic assets are modernized while preserving scientific integrity analytical equivalence and operational continuity. This role serves as the bridge between statistical methodology and technical implementation enabling scalable maintainable and reproducible analytics platforms.
Serve as the technical lead for analytics modernization initiatives supporting surveillance research program evaluation and data science activities.
Develop modernization strategies migration roadmaps coding standards technical governance frameworks and implementation plans for analytic transformation efforts.
Assess legacy analytics environments SAS programs macros workflows dependencies and reporting pipelines to identify modernization opportunities.
Lead migration of SAS-based workflows to R Python and modern analytics platforms while preserving analytic intent business rules statistical methodologies and output consistency.
Design and oversee validation frameworks to confirm equivalence between legacy and modernized analytic workflows.
Establish and maintain code review standards regression testing approaches automated validation processes and reproducibility controls.
Collaborate with biostatisticians and epidemiologists to validate migrated outputs and ensure scientific defensibility of modernized solutions.
Develop reusable libraries frameworks templates and accelerator assets that increase consistency and reduce future development effort.
Lead adoption of modern software engineering practices including version control code management documentation standards CI/CD and automated testing.
Support implementation of cloud-based analytics environments and scalable data science platforms.
Establish enterprise standards for reusable analytics code promotion environment management and technical documentation.
Mentor technical teams in R Python Git testing methodologies reproducible analytics and modern development practices.
Develop technical designs migration inventories validation reports implementation guidance training materials and knowledge transfer products.
Support proposal efforts solution development and thought leadership activities related to analytics modernization statistical computing and open-source transformation.
Role contingent upon contract award
What You Will Need:
Must be a U.S. Citizen or Permanent Resident. and ability to obtain and maintain a Public Trust clearance.
Bachelors degree in Computer Science Data Science Statistics Biostatistics Informatics Applied Mathematics Engineering or related technical field. Masters degree preferred.
EIGHT (8) or more years of professional experience supporting analytics modernization statistical programming data science software development data engineering or analytical platform implementation.
Experience leading modernization or migration initiatives involving SAS-based analytics statistical programming reporting assets or analytical workflows to open source platforms specifically R.
Expertise in SAS programming including SAS macros PROC SQL data step programming statistical procedures reporting workflows and production analytical environments.
Experience in both R and Python including development of reusable packages libraries analytical pipelines and automated workflows.
Experience converting statistical programs analytical workflows and reporting assets from SAS to modern open-source environments.
Experience designing and implementing validation frameworks regression testing approaches automated testing methodologies and analytical quality control processes.
Experience validating migrated outputs and documenting analytical equivalency between legacy and modernized environments.
Strong understanding of statistical programming principles and experience collaborating effectively with biostatisticians epidemiologists and data scientists on analytical validation efforts.
Experience using Git GitHub Azure DevOps CI/CD pipelines version control code review practices and software development lifecycle methodologies.
Experience developing and maintaining technical documentation code inventories conversion playbooks migration plans design specifications and validation reports.
What Would Be Nice To Have:
Masters degree in Data Science Computer Science Statistics Biostatistics Informatics or related discipline.
Experience supporting analytic workflows in secure regulated healthcare public health life sciences or government environments.
Strong problem-solving stakeholder engagement and technical communication skills.
Experience leading technical workstreams and mentoring multidisciplinary development or analytics teams.
Experience supporting large-scale public health surveillance healthcare analytics biomedical research or population health programs.
Experience modernizing large analytics environments consisting of hundreds or thousands of SAS programs macros reports and supporting assets.
Experience developing automated code conversion testing validation code quality or reproducibility frameworks.
Experience with Databricks Snowflake Azure AWS Palantir Foundry or other modern analytics platforms.
Experience implementing CI/CD DataOps MLOps infrastructure-as-code or automated deployment frameworks.
Experience containerizing analytical workflows using Docker Kubernetes or similar technologies.
Experience developing R packages Python libraries reusable analytics frameworks or enterprise coding standards.
Experience supporting modernization of surveillance systems public health analytics platforms or scientific computing environments.
Experience training technical teams on open-source analytics software engineering best practices and modernization methodologies.
Experience working with state public health agencies.
Experience supporting federal public health healthcare or research organizations.
What We Offer:
Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical Rx Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement Personal Development Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care Hospital Indemnity Accident Insurance Legal Assistance and ID theft protection etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities or to apply for a position and you require an accommodation please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse please report the matter to Guidehouses Ethics Hotline. If you want to check the validity of correspondence you have received please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicants dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
About Company
Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.
