Vice President, AI Strategy Location: New York, NY or Boca Raton, FL (hybrid) Who Are We: At Mutual ... Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing ...
Vice President, AI Strategy Location: New York, NY or Boca Raton, FL (hybrid) Who Are We: At Mutual ... Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing ...
Interpretability Ai information
What is interpretability in AI?
Interpretability in AI refers to the ability to understand and explain how artificial intelligence systems, especially complex models like neural networks, make their decisions. It helps researchers, developers, and end-users to trust AI systems by making their inner workings more transparent. Interpretability is crucial in sensitive fields such as healthcare and finance, where decisions need to be justified and understood. Techniques for interpretability include feature importance, visualization, and model simplification. Improving interpretability can lead to safer, fairer, and more accountable AI systems.
What are the key skills and qualifications needed to thrive as an AI interpretability specialist, and why are they important?
To thrive as an AI Interpretability Specialist, you need expertise in machine learning, statistics, and data analysis, often backed by a degree in computer science, mathematics, or a related field. Familiarity with interpretability frameworks (like LIME, SHAP), deep learning libraries (such as TensorFlow or PyTorch), and experience with model evaluation tools are typically required. Strong problem-solving abilities, communication skills, and intellectual curiosity help bridge the gap between technical results and stakeholder understanding. These competencies are essential to ensure AI models are transparent, trustworthy, and aligned with ethical standards.
What are the main challenges faced when working in interpretability AI roles, and how can professionals address them?
Professionals in Interpretability AI often face the challenge of translating complex machine learning models into understandable insights for both technical and non-technical stakeholders. This requires not only a deep understanding of algorithms but also strong communication skills to bridge the gap between data scientists, engineers, and decision-makers. Additionally, balancing the trade-off between model accuracy and interpretability can be tricky, as more interpretable models may sometimes be less accurate. Collaborating closely with cross-functional teams and staying updated with the latest interpretability techniques can help overcome these challenges and add value to AI projects.
What is the difference between Interpretability Ai vs Data Scientist?
| Aspect | Interpretability Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically a background in AI, machine learning, or data analysis; often a master's or PhD in related fields | Degree in computer science, statistics, or related fields; often a master's or PhD |
| Work Environment | Research labs, AI development teams, tech companies focusing on explainable AI | Data analysis, modeling, and insights generation across various industries |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, tech, consulting, and more |
Interpretability Ai specialists focus on making AI models transparent and understandable, often working on explainability tools. Data Scientists analyze data, build models, and generate insights. While both roles require strong analytical skills, Interpretability Ai emphasizes explainability techniques, whereas Data Scientists focus on data analysis and modeling across diverse industries.
What are popular job titles related to Interpretability Ai jobs in Florida?
For Interpretability Ai jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Interpretability Ai jobs in Florida look for?
The top searched job categories for Interpretability Ai jobs in Florida are:
What cities in Florida are hiring for Interpretability Ai jobs?
Cities in Florida with the most Interpretability Ai job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
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Job description
Mutual of America Financial Group
Job Title: Vice President, AI Strategy
Location: New York, NY or Boca Raton, FL (hybrid)
Who Are We:
At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid-sized nonprofit organizations with pension and retirement-related services, along with leading customer support. Today, we provide these services also to for-profit companies, as well as to governmental entities, Tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their retirement savings goals.
We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future.
Role Summary:
We are looking for a Vice President of AI Strategy to join us to lead AI initiatives, driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This leader will own the development and execution of the AI strategy, collaborating with the data team to ensure that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms.
This is a strategic role, focused on working with business leaders and technology teams to define the company’s AI strategy and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands-on execution. You will ensure that AI initiatives align with the broader organizational goals and deliver measurable value.
Responsibilities:
- Define AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s AI strategy in collaboration with the business.
- Build partnerships with executive leadership and senior team members to execute on the vision for managing AI projects and applications, to exploit data and AI capabilities to maximize the value.
- Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments.
- Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making.
- AI strategy implementation and scaling, oversee the execution and scaling of the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas.
- Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications.
- Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders to integrate AI governance principles into project development and deployment.
- Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization
- Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows.
- Innovation and continuous improvement: Ensure that AI products remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge.
- Collaborate on data projects: Partner with business units and data teams to ensure successful execution of critical data projects that will be leveraged by AI.
Required Qualifications:
- Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
- Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape.
- Experience integrating with data platforms that support AI, data engineering, and analytics projects across an organization.
- Strong knowledge of AI and data technologies including Python.
- Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing explain-ability to complex models.
- Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders.
- The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.
- Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.
Preferred Qualifications:
- 5 years of leading AI projects at an enterprise level
- Proficiency in data analysis tools and programming languages like SQL, Python, R.
- Understanding of data modeling and data architecture principles
- Expertise in defining and implementing data strategy, governance, and data management best practices.
- Proficient with data governance best practices
What we offer you:
- Competitive base salary
- Annual Bonus
- Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment
- 401(k) Match: 100% Employer Match on up to 6% employee contributions (Salary and Incentive Comp)
- Parental Leave: 8 weeks fully paid
- Paid time off: 28 days plus two floating personal holidays
The salary range below describes the minimum to maximum base salary range for this role. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and / or company performance.
Base Salary Range: $176,700 - $265,100
Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica
Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law.
About Mutual of America
Sourced by ZipRecruiter
Industry
Insurance services
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
1945