Search for Director of AI/ML Engineering roles in the U.S., specifically focusing on healthcare industry, requiring 7+ years of experience, with a remote job mode and a salary range of $124,500 to $239,400.

Okay, I've searched for Director of AI/ML Engineering roles in the U.S. within the healthcare industry, requiring 7+ years of experience, offering remote work, and with a salary range of $124,500 to$ 239,400. I have found 75 positions for you.

Director, AI/ML Engineering

Healthcare

7 years + Experience

Remote

$124500+

$239400-

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Director of AI/ML Engineering role is fundamentally about leading a data science team that designs, develops, and maintains advanced AI and machine learning models to enhance disease progression and patient engagement initiatives. This involves a deep understanding of both machine learning methods and health care applications, as the candidate will collaborate with various stakeholders to devise innovative solutions that align with the strategic objectives of UnitedHealth Group. The position requires not only technical expertise in Python and SQL but also exceptional communication and leadership skills to guide teams toward excellence in execution. Candidates will face challenges that include navigating complex health data, ensuring model accuracy and scalability, and promoting a culture of continuous improvement. Success in this role will be defined by the ability to translate AI capabilities into effective health solutions that yield measurable outcomes, while also managing a diverse team and liaising with various business functions.

Company Analysis:

UnitedHealth Group operates at the forefront of health care technology, using data-driven insights to enhance care delivery and improve health outcomes on a global scale. As a major player in the health care industry, their commitment to diversity, equity, and inclusion resonates strongly with their broader mission of equitable health access. This company culture is conducive to innovation, indicating that they prioritize proactive, solution-oriented individuals capable of navigating a fast-paced environment. The Director of AI/ML Engineering will likely find themselves in a visible leadership position within the Optum AI team, where partnerships with leading experts and researchers are commonplace. The role aligns with the company's strategic goal to leverage AI for transformative health solutions, reinforcing the importance of this position in driving innovation and addressing significant health disparities. With remote flexibility and a focus on talent development, the organization also offers a supportive environment for professional growth, making it an attractive career destination for forward-thinking tech leaders.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a team through a challenging AI/ML project. What were the key challenges, and how did you ensure success?
Describe your experience with cloud-based data platforms like Databricks and Azure AI Services. How did you utilize these tools in your previous roles?
Can you provide an example of a machine learning technique you have implemented? What were its advantages and drawbacks in practice?
How do you ensure effective communication with business partners when discussing technical concepts and solutions?
How would you prioritize competing AI/ML projects that impact various sectors of health care within UnitedHealth Group?
Imagine you are tasked with leading a new initiative involving generative AI in patient engagement. What steps would you take to design and implement this solution?
You have encountered a significant technical issue during the deployment of an AI/ML model. How would you manage this situation to minimize disruption?
Given the emphasis on diversity and equity, how would you ensure that AI/ML solutions developed under your leadership are inclusive and equitable?
Why are you interested in working in the health care technology space, specifically with UnitedHealth Group?
How does your experience align with our mission to reduce health disparities, and what role do you believe AI can play in this effort?
What specific capabilities do you think an effective AI/ML team needs to possess to meet the evolving challenges in health care?
Could you ask about the current strategic priorities for the AI/ML team at UnitedHealth Group?
What types of professional development opportunities do you offer for leadership roles within the company?

Job Details

Overview Company

Director, AI/ML Engineering

$124.5k/y-$239.4k/y

Lensa

3 days ago

Highlight

RemoteFull-time7+ yearsDirector

Summary

UnitedHealth Group is seeking a Director, AI/ML Engineering - Remote to join their Optum AI team. The role involves leading data science teams to develop AI/ML models for disease progression and patient engagement programs.

About the Role

As a Director, AI/ML Engineering, you will lead the data science team in conceptualizing, designing, developing, and maintaining AI/ML models. You will collaborate with business partners to understand requirements, review AI/ML model ideas, and develop a roadmap for disease progression and patient engagement programs. You will also be responsible for talent development, process improvement, and ensuring smooth execution of projects across geographical locations.

About You

Required:

MS degree in Computer Science or related field.
7+ years of experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets.
Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks.

Preferred:

Ph.D. in Computer Science or related field.
10+ years of data science experience.
Knowledge of advanced statistical techniques and concepts.
Outstanding communication skills both written and verbal.

Benefits

Comprehensive benefits package including 401(k).
Incentive and recognition programs.
Equity stock purchase.
401k contribution.

Lensa

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