Entry Level Data Manager Jobs
New grad data manager jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings are on-site and hybrid roles across Technology & Software, Retail, and E-Commerce & Online Marketplaces, with employers like Amazon, Capital One, and Google hiring at this level now.
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Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.
The Data Scientist will combine deep analytical expertise with production‑grade software development skills to build reliable, scalable solutions on our proprietary clinical intelligence platform. You will own initiatives from problem framing to model delivery and partner with software and data engineering partners to deploy into production environments.We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS au-dit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integ-rity.
You’ll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning—transforming how we ensure both quality and regulatory alignment.
Job Duties/Responsibilities:
- Own end‑to‑end solutions: translate ambiguous healthcare and operational problems into AI/ML models that deliver measurable impact by selecting methods, building data/models, deploying services, instrumenting observability, and real-world feedback loops.
- Partner with Product, Engineering, and Clinical leaders to embed data science into workflows like claims processing, utilization management, provider network optimization, risk adjustment, etc.
- Deliver clinical intelligence features such as autonomous chart review, disease detection, compliance forecasting, and quality analytics.
- Build AI/NLP/LLM models for document understanding and information extraction, including OCR, NER, and vision models.
- Advance quality and payment integrity: create models and automated QA to reduce manual review, increase accuracy, and surface documentation anomalies and audit risk.
- Champion engineering excellence: internal libraries, reusable components, coding standards, code reviews, and clear documentation.
- Own the lifecycle: monitoring, drift detection, alerting, and post‑deployment reviews.
Job Requirements:
Experience:
- 2-5 years delivering production‑grade data science or ML software with measurable impact.
- Strong software engineering fundamentals: data structures, algorithms, modular design, API design, documentation.
- Proficiency in Python plus SQL; experience building reusable packages, utilities, and CLI tools.
- Applied knowledge of ML (tree ensembles, boosting, NLP/LLMs, deep learning) and experimental design.
- Experience with high‑volume, high‑dimensional, and unstructured data; strong data quality mindset.
- Experience with Git workflows, code reviews, CI/CD.
- Excellent data visualization and storytelling skills.
- Ability to thrive in ambiguous, fast‑paced environments.
Preferred:
- Healthcare domain experience; familiarity with CMS/Medicare Advantage operations.
- Document understanding systems with OCR/NER and LLM pipelines.
- Experience with NoSQL and performance optimization.
- Contributions to internal frameworks or open‑source; published work.
Education:
- Required: Bachelor’s degree in Computer Science, Data Engineering or similar technical field.
- Preferred: MSc/PhD in CS, Engineering, Math, Statistics, or related field.
Specialized Skills:
Required:
- Python, SQL
- Databricks (Spark, Delta Lake)
- MLflow, Unity Catalog, Git, CI/CD, Docker
- REST/GraphQL APIs, orchestration
- NLP/LLM & Vision: OCR, NER, embeddings
- Ability to communicate positively, professionally and effectively with others; provide leadership, teach and collaborate with others.
- Effective written and oral communication skills; ability to establish and maintain a constructive relationship with diverse members, management, employees and vendors;
Essential Physical Functions:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
2. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Pay Range: $149,882.00 - $224,823.00Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.
- DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email careers@ahcusa.com.
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Who's Hiring
- Amazon210
- Capital One80
- Google55
- Information Technology Senior Management Forum46
- Booz Allen Hamilton40
Top Industries Hiring
- Technology & Software644
- Retail275
- E-Commerce & Online Marketplaces213
- Consulting & Professional Services213
- Banking & Financial Services146
Entry Level Data Manager Jobs: Frequently Asked Questions
How do I get an entry level data manager job?
Entry level data manager roles favor candidates who can demonstrate hands-on work with data tools like SQL, Excel, or Python, even through coursework, bootcamps, or personal projects. Employers at this level look for attention to detail, familiarity with data organization principles, and the ability to communicate findings clearly. A portfolio showing a real cleanup or analysis project gives you a concrete edge over candidates with only a degree.
Which companies hire entry level data managers?
Companies hiring entry level data managers right now include Amazon, Capital One, and Google, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of organizations, including healthcare systems, financial services firms, tech companies, and public sector agencies that need help organizing and maintaining growing data sets.
Are there remote entry level data manager jobs?
Yes, though on-site and hybrid roles still make up a significant share of openings at this level. About 24% of entry level data manager openings are remote or hybrid as of July 2026, giving candidates flexibility in where they apply. Fully remote positions at the entry level tend to be more competitive, so targeting hybrid roles can broaden your realistic options.
Are these new grad data manager jobs?
Yes, these listings include new grad, recent graduate, and junior data manager roles. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or academic projects toward qualifications, or explicitly accepts a strong portfolio in place of formal work history. Look for language like "entry level," "junior," or "recent graduates encouraged to apply" to identify the right fit.
Which industries hire the most entry level data managers?
Entry Level data manager roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at the entry level because they generate large volumes of operational or customer data that needs consistent organization, quality control, and reporting, creating steady demand for candidates who are earlier in their careers.