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Optimization Algorithms Jobs in Florida (NOW HIRING)

Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2nd tier customer support. * Conduct customer and sales training including software demonstrations ...

Be comfortable with data pattern recognition and energy optimization algorithms. * Provide 2ndtier customer support. * Conduct customer and sales training including software demonstrations ...

Keep abreast of SEO best practices, algorithm updates, and industry news * Work with SEO and Content teams to create effective SEO content strategies targeting search keywords and relevant topics for ...

Stay informed on algorithm updates, entity optimization, and the evolving relationship between SEO and generative AI Benefits Compensation : Salary-based rate, commensurate with experience. How to ...

Stay informed on algorithm updates, entity optimization, and the evolving relationship between SEO and generative AI Benefits Compensation : Salary-based rate, commensurate with experience. How to ...

You'll have an excellent understanding of search algorithms and shopper behavior on and off ... Developing and implementing effective search engine optimization (SEO) strategies * Provide ...

You'll have an excellent understanding of search algorithms and shopper behavior on and off ... Developing and implementing effective search engine optimization (SEO) strategies * Provide ...

You'll have an excellent understanding of search algorithms and shopper behavior on and off ... Developing and implementing effective search engine optimization (SEO) strategies * Provide ...

Deep expertise in technical SEO, search algorithms, and modern SERP and AI-driven search features * Experience with AEO/GEO concepts, including optimizing for AI-generated answers, conversational ...

Deep expertise in technical SEO, search algorithms, and modern SERP and AI-driven search features * Experience with AEO/GEO concepts, including optimizing for AI-generated answers, conversational ...

SEO & AEO (GEO) Associate

Orlando, FL · On-site

$60K - $70K/yr

Stay current on SEO trends, Google algorithm updates, and emerging tools. * AEO (GEO) Strategy & Execution: * * Assist in the development and implementation of AEO (GEO) strategies for a variety of ...

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Optimization Algorithms information

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

What cities in Florida are hiring for Optimization Algorithms jobs? Cities in Florida with the most Optimization Algorithms job openings:
Infographic showing various Optimization Algorithms job openings in Florida as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


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.