Over the years I have hosted many AI & Emerging Tech events, and I have many questions. Do I need to become an engineer to get a job with AI or do I need to get a PhD?
The talent of the lack of STEM (science, technology, engineering, mathematics) or “STEM pipeline problems” is often cited by the tech industry to explain the lack of diversity without acknowledging the self-selection bias that is becoming widespread in the industry dominated by this man. Using the spike in coding camps and the AI narrative of the media dominated by Tech Bro, it is easy to assume that every AI role requires STEM engineering expertise or advanced degree.
While more investments will need to be made in key areas like STEM, where women and BIPOC have been historically underrepresented, there is also an urgent need to reduce barriers to non-engineering and non-academic fields.
As AI adoption grows in diverse industries and functional areas, it creates new opportunities for people outside of the high-tech bubble to build The future of AI. We showcase 12 companies across technology, healthcare, finance, travel and other industries. These actively employ AI roles that do not require engineering degrees. If you are looking for new roles in AI where functional expertise, interdisciplinary background and industry experience are assets, check them out.
1) AI/ML Strategy & Execution Manager [JP Morgan Chase, New York]
explanation: The AI Management Team is recruiting talented candidates to join a small team to lead the transformational improvements in processes, technologies and organizational structures that support AI/ML across the enterprise.
Minimum experience and education required: Over 5-10 years of experience in consulting, business management, analytics, or practical program management in complex and dynamic environments
Priority experience and skills: Experience in the financial services industry. Interest in AI and machine learning. It's beneficial to be familiar with the concepts of AI/ML
2) Emerging Technology Product Owners – Artificial Intelligence [Humana, Work at Home — Kentucky]
explanation: New technology product owners will apply emerging technologies to help analyse the company's requirements and to support long-term business goals. He is responsible for researching, collecting and disseminating information on emerging technologies and key learning across the enterprise.
Minimum experience and education required: A bachelor's degree in communication, technology, or business-related focus or appropriate experience. Minimum 3 years of related experience in healthcare or healthcare technology
Priority qualification: Master's degree; Member/Consumer Experience Design Experience. Experience with Watson AI or other AI platforms. PMP and/or Six Sigma Certification
3) Director and Assistant Negative Counsel – Artificial Intelligence/Machine Learning [Capital One, Virginia]
explanation: As a member of Capital One's Enterprise Innovation Business Counsel team, you apply your legal, strategic and analytical skills to programs and initiatives driving Capital's most innovative technologies and solutions.
Minimum experience and education required: A certified law school law doctor. Active members in good condition of at least one state bar. At least 5 years of legal experience within a law firm or company
Priority qualification: Personal interest in technology; 2 years or more experience in machine learning/artificial intelligence in company or in law firms. Over 6 years of legal experience in a law firm or in-house. I have experienced AI/ML research and university agreement counseling and negotiation.
4) Senior Product Manager – Artificial Intelligence and Machine Learning Platform [Expedia, Washington — Seattle]
explanation: We are looking for a senior product manager with a platform product management experience and are involved in building artificial intelligence and machine learning (AI & ML) platforms in close partnership with technology and data science teams.
Minimum experience and education required: Previous experience and interest in artificial intelligence and machine learning practices can enable us to directly contribute to our work in building a platform where we can manage the lifecycle of our models and how they work. Bachelor's, Master's, or equivalent experience. Strong product management experience owning multiple product areas, including product strategy development, roadmap and market plan development.
Priority experience and skills: If a technical degree is desired, relevant experience applies.
5) AI Acceleration Strategy – Manager [JP Morgan Chase, New York]
explanation: We are looking for talented candidates to lead AI/ML strategy projects and partner with data, technology, business and product leaders across the enterprise.
Minimum experience and education required: Over 5-10 years of experience in consulting, business management, or practical program management in complex and dynamic environments. Strategic thinking with deep intellectual curiosity. Very strong client management and executive level communication skills
Priority experience and skills: Experience in the financial services industry. Extensive knowledge of AI/ML
6) Sales Executive – GPS Strategy and Analysis, Artificial Intelligence and Data [Deloitte, Virginia]
explanation: Deloitte seeks top-performing sales executives (SEs) in strategy and analytics practices to pursue opportunities for digital transformation, AI, analytics, data and intelligent automation within the DS&J sector.
Minimum experience and education required: Existing knowledge of the analysis, robotics and artificial intelligence markets is essential. A bachelor's degree is required. It has a proven track record of providing more than $150 million in new sales revenue per year, demonstrating year-over-year growth
Priority experience and skills: Master's degree and/or consulting delivery experience is desirable.
7) Director Analyst, Artificial Intelligence, Machine Learning [Gartner, Virginia]
explanation: Gartner analysts are industry thought leaders who create essential research, market forecasts and best practices for a wide range of world-leading organizations. Directors have a keen eye at identifying gaps, problems and solutions within the markets they serve.
Minimum experience and education required: Bachelor's degree or equivalent experience. 10 years of industry-related experience. Draw conclusions, recognize patterns in defense, apply conceptual models, apply conceptual models, and demonstrate analytical skills. Important application experience in related industry discipline and deep knowledge of a particular market.
Priority experience and skills: 12 years of experience or data management in the field of AI/ML in at least one of the areas mentioned above. Graduate degree in related fields
8) Partner Business Manager – Artificial Intelligence – SECOPS [Microfocus, Texas]
explanation: This role focuses solely on Arcsight Ueba/AI/ML features. The purpose of this role is to target top cloud strike partners, develop and foster strategic/mutually beneficial relationships between them and their ecosystem partners, and to promote additional revenues in joint sales efforts.
Minimum experience and education required: University or bachelor's degree. Typically, 12 years or more sales experience at the end-user account or partner level. Experience as a successful account/business manager. Sales to CXO and decision-maker levels. It can explain the understanding, concepts and differences of AI and ML's values and capabilities. Understand AI/ML use cases and explain the values.
Priority experience and skills: Advanced degree or MBA is desirable.
9) Leads – Artificial Intelligence and Machine Learning [WEF, San Francisco, California]
explanation: Leads work closely with the Platform Head to support the overall platform and service strategy and operation of AI-selected affiliate centres. They also work with other platforms across the house to promote value and impact.
Minimum experience and education required: A master's degree (or higher) in public policy, management, artificial intelligence or other technology, or similar fields. Over 7 years of experience in the private or public sector, including related artificial intelligence-related topics or work or consulting/business development related to technology policy and development.
Experience in creating public policy regarding artificial intelligence (such as regulations, standards, guidelines, and other policy tools), ideally with government or global organizations, or directly with technology applications or technology policies;
10) Artificial Intelligence – Owner of Program Products [CVS, Michigan]
explanation: Manage stakeholders, tasks, and deliverables from multiple complex projects or programs that impact multiple processes, systems, functions, and products, all to implementation. The length of the project may run for several years over a long period.
Minimum experience and education required: Bachelor's degree or equivalent experience in related fields with a focus in nursing, computer science, business management, engineering, or information technology.
Priority qualification: Experience in implementation and subject matter expertise surrounding artificial intelligence solutions. Experience in the PM healthcare industry. Experience in a technical environment (product delivery, data science); Project Management Professional (PMP) certified. Certified Business Analyst Professional (CBAP) Certified. Experience with project management tools such as Rally, Jira, and Confluence. Six Sigma and/or Lean Authentication
11) Senior Technology Product Owner, Artificial Intelligence [Delta — Atlanta, GA or Minneapolis, MN]
explanation: As an AI technology product owner, you will work on business-wide initiatives within your communications, AI, and automation portfolio. Initiatives range from complex global operations to digital customer experiences.
Minimum experience and education required: Education, experience, formal training in any related field or any combination or equivalent that enables candidates to meet job requirements. Experience as a product owner of technical products.
Priority qualification: A bachelor's degree in computer science, engineering field, economics, business or equivalent experience.
12) AI Evangelist [Dataiku, Washington]
explanation: As an AI evangelist, you help your clients accelerate their journey to leverage AI to achieve their business goals. Help customers identify innovation opportunities by leveraging expertise in the fields of analytics, machine learning and artificial intelligence.
Minimum experience and education required: Demonstrated leadership and technical expertise in AI or closely related fields. At least 8 years of professional experience.
