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Job Title: Senior Vice President/Vice President of Legal Affairs
Reports to: Chief Operating Officer/Chief Executive Officer
FLSA Status: Exempt
Salary Range: $150k-170k per year
Brief Summary of Work for this Position
As a member of the Executive Team, oversees and manages the legal department and legal services for the organization. Responsible for providing all manners of legal advice and counsel to support Alera Health and its subsidiaries, including legal oversight of Alera’s development and management of Behavioral Health Clinically Integrated Networks (CINs) and other value-based care arrangements across multiple states. Provides support and education as appropriate to assist Alera Health’s clients, provided that such support and education does not constitute the provision of legal advice or establish an attorney-client relationship with any client. Serves as lead attorney in certain substantive legal areas, as assigned, including but not limited to healthcare regulatory matters, CIN governance and compliance, healthcare transactions (including overseeing due diligence, participation in negotiations, preparing and reviewing transaction documents), and corporate services support (contract administration, finance matters, personnel matters). In addition, this position will oversee the currently outsourced legal work and create a more effective and efficient legal model for the organization.
Essential Duties and Responsibilities:
- Lead all aspects of the company’s legal function, including corporate governance; formation, governance, and regulatory compliance of Clinically Integrated Networks (CINs) and other value-based care structures; mergers and acquisitions; contracting (including government contracting); privacy and data security matters; crisis and risk management; labor and employment and litigation matters; stock administration functions; legal operations; intellectual property; real estate; joint ventures; and other strategic partnerships.
- Collaborating with executive team, leads, facilitates, and participates in overall departmental and organizational mission.
- Coordinates with financial and company executives to develop and manage departmental budget.
- Co-lead all aspects of the company’s privacy program, such as the development, implementation, and maintenance of the company’s privacy policies and procedures, monitoring for compliance, ensuring proper training occurs, and establishing and administering a process for receiving, documenting, tracking, investigating, and acting on all privacy related complaints.
- Lead all aspects for making all required regulatory submissions needed for the company or its subsidiaries to participate in a commercial payor or CMS sponsored program and provide necessary education and information to facilitate clients’ participation in commercial payor or CMS sponsored programs.
- Support the development, implementation, and ongoing operation of applicable programs and services.
- Ensure the availability and quality of proficient, timely legal services, processes, and systems across the company—including selection and retention and management of outside counsel.
- Create and foster (through both words and actions) a culture of ethics and compliance with the law. This includes initiating, facilitating, and promoting activities to foster information privacy awareness within the organization.
- Participate in the development of policies, procedures, and programs.
- Maintain current knowledge of applicable federal and state law, and monitors advancements in information privacy technologies to ensure organizational adaptation and compliance.
- Maintains advanced understanding and comprehension of healthcare (particularly Behavioral Health) industry vocabulary and processes.
- Miscellaneous duties as assigned.
Minimum Education and Experience Requirements
A law degree from an ABA accredited school of law. Membership in the State Bar of resident state, or eligibility for admission based on reciprocity or in-house counsel is required. Extensive Experience in healthcare law and specific expertise in working with large systems including hospital networks and/or Accountable Care Organizations is required. An outstanding record of achievement with a minimum of 3 years of relevant experience as an attorney supporting hospitals, physicians, and other healthcare providers.
Knowledge and Abilities:
- Knowledge of healthcare operations and clinically integrated networks as well as public and regulatory compliance regulations.
- Executive level of thought leadership with special attention to advancing the organization as a whole.
- Capacity to research, analyze, and execute effective legal practices.
- Strong focus and ability to work autonomously, balance multiple priorities, and reasonably anticipate needs from tasks at hand and fellow team members.
- Has flexibility for domestic travel (via flight and/or ground transportation) to several locations for up to two weeks per month depending on needs of the network/client.
- Flexibility and ability to work remotely, coordinate effectively both in person and virtually, and communicate any logistical information to project manager(s).
- Ability to coordinate various projects with strategic and tactical information into practical applications that are easily understood by all employees and clients across a wide range of non-technical skill sets and backgrounds.
- Strong ability to communicate complex ideas effectively – both verbally and in writing.
- Deep passion for improving patient care and population health.
Technology Skills
To perform this job successfully, an individual should have knowledge of word processing software, spreadsheet software, visualization and editing software, care management and medical record software, data dashboards, working knowledge of compatibility troubleshooting, and ability to troubleshoot routine technological issues.
Physical Responsibilities
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 will be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to remain stationary for extended periods of time and operate a computer and other office productivity machinery such as a computer printer, copy machine, or calculator. The employee is frequently required to communicate information and exchange ideas with others. The employee is occasionally required to move or traverse, ascend or descend, position self to obtain items and accomplish tasks. The employee must occasionally position and/or move up to 25 pounds. Specific vision abilities required by this job include the ability to observe details at close range (within a few feet of observer).
Preferred Education, Knowledge, Skills and Experience
In addition to required law degree and membership in the State Bar of residence state, any additional degrees, certificates, or specialties related to legal affairs, healthcare, quality assurance, and/or other applicable field. A minimum of 5 years experience supporting growing healthcare organizations.
Experience:
- Prior oversight experience with contract management, real estate law, and healthcare transactions preferred.
- Five or more years of direct healthcare management or operational oversight.
- Implementation of practice or process improvement.
- Certification or specialization in clinical performance, project management, process improvement, or other related technical area.
- Experience focused on clinically integrated networks and population health.
Other Potential Areas of Consideration:
- Strategic planning and roadmaps.
- Genuine interest in healthcare, business operations, technology, data analytics, and find problem solving exhilarating.
- Deep understanding of value-based care.
- Demonstrated ability to take initiative.
- Enjoy working in teams.
- Clinical integration technology and deployment.
- Care management technology, programming, labor, and workflow integration.
- Practice and systemic performance improvement.
Job Type: Full-time
Pay: $150,000.00 - $170,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Employee assistance program
- Flexible schedule
- Health insurance
- Paid time off
- Professional development assistance
- Vision insurance
Education:
- Master's (Preferred)
Experience:
- Healthcare Law: 3 years (Required)
License/Certification:
- License to practice law (Required)
Work Location: Hybrid remote in Wilmington, NC 28409
Salary Context
This $150K-$170K range is below the median for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Alera Health, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. Disclosed range: $150K to $170K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Alera Health AI Hiring
Alera Health has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Wilmington, NC, US. Compensation range: $170K - $170K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (3,672) are outnumbered by mid-level (23,272) and senior (7,048) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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