Senior Consultant, Strategy, Growth, and Transformation
About The Position
As a Senior Consultant on Deloitte’s Customer Strategy & Design team, you will support public-health programs by designing, building, and maintaining data pipelines, data models, and workflows in Palantir Foundry. You will develop data engineering solutions using Python, JavaScript, TypeScript, and Databricks for data ingestion, transformation, analysis, and delivery of data products. You will translate program needs involving infectious diseases or epidemiology into scalable data products, analytical workflows, and user-facing capabilities, and develop full-stack components, including front-end interfaces, to improve access to data and program insights. The role also involves driving assigned work across concurrent programs, documenting technical decisions, and partnering with delivery teams to meet project objectives. The position is part of Deloitte’s Government & Public Services practice and Customer Strategy & Design team, which works with government and public higher-education clients and develops customer growth strategies and innovation portfolios. The position requires average co-location at least three times a week, with variation depending on work, projects, and client locations. Travel may average 0–25%, depending on the work and clients served.
Requirements
- Master of Public Health (MPH).
- At least 4 years of public-health work, preferably involving infectious diseases and epidemiology.
- At least 1 year of data engineering experience.
- At least 1 year of experience with Palantir Foundry.
- At least 1 year of experience using Python for data manipulation and analysis.
- Ability to co-locate an average of at least 3 times a week, with variation based on work, projects, and client locations.
- Ability to travel 0–25% on average, based on work and clients served.
- Must be legally authorized to work in the United States without employer sponsorship now or at any time in the future.
- Ability to work independently and collaboratively as part of a team.
- Effective written and verbal communication skills.
- Meticulous attention to detail and quality of work product.
- Ability to build and sustain professional relationships.
- Strong interpersonal skills and a professional demeanor.
Nice To Haves
- At least 1 year of Databricks data engineering experience.
- At least 1 year of full-stack or front-end engineering experience.
- At least 1 year of experience building AI-driven planning tools.
- At least 1 year of experience working with electronic medical record systems.
Responsibilities
- Design, build, and maintain data pipelines, data models, and workflows in Palantir Foundry for public-health programs.
- Develop data engineering solutions using Python, JavaScript, TypeScript, and Databricks to support data ingestion, transformation, analysis, and delivery of data products.
- Translate program needs involving infectious diseases or epidemiology into scalable data products, analytical workflows, and user-facing capabilities.
- Develop full-stack components, including front-end interfaces, that improve access to data and program insights.
- Drive assigned work across concurrent programs, document technical decisions, and partner with delivery teams to meet project objectives.
- Lead projects or workstreams and provide clear guidance to others.
- Manage and prioritize multiple tasks in a fast-paced, dynamic environment and meet deadlines.
Benefits
- Employees are offered a broad range of benefits.
- May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
