Sr. Principal Analyst-AI & Data applications, P&C, Life Insurance Industry (Remote US)

Sr. Principal Analyst-AI & Data applications, P&C, Life Insurance Industry (Remote US)

About the role:

Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Sr Principal Analyst possesses a keen eye for identifying gaps, problems, and solutions within their market. They use their knowledge to help clients make better decisions, solve complex issues and execute new practices that propel clients’ businesses toward critical objectives. An Analyst publishes these insights as pragmatic and provocative research. Additionally, they reinforce Gartner’s value every day by engaging clients via in-person and virtual meetings, sales support visits, Gartner conferences and industry events. This includes writing about, presenting and advising insurance organizations about market trends, vendors, services, governance and best practices in Data & Analytics and AI. 

What you will do:

• Create high-quality, clear, actionable, “must-have research” content based on research best practices and methodologies in the insurance industry on data and analytics, AI and data science. Specific focus areas will include strategy, business value, best practices, market trends, technologies and vendors of our target audience including CIOs and product leaders at vendors.

• Broad spectrum coverage of the market, and produce innovative, thought-leading, impactful, analytically deep, fact-based research.

• Serve as a leading authority on insurance AI and advanced analytics topics, such as: understanding insurance AI use cases; setting up AI pilots and scaling AI initiatives; ensuring proper governance of AI tools; navigating the AI technology landscape; connecting AI to day-to-day process improvement and wholesale transformation.

• Stay abreast of broader research and trends in artificial intelligence and data analytics methods with application in insurance.

• Provide current and prospective clients with actionable advice via virtual and face-to-face interactions.

• Support business growth and client engagement strategies by partnering with Gartner’s commercial organization to create long-term value for both clients and Gartner.

• Provide clients and prospects with actionable analytics & AI-centric advice via virtual or face-to-face interactions.

• Act as an internal advisor on how data and analytics and AI practices, technologies and approaches are impacting the insurance function.

• Create and deliver presentation materials for Gartner events, industry and professional association conferences, and client briefings.

• Build your personal brand as a functional expert to drive Gartner’s research, methodology and strategy.

• Provide high-quality and timely research peer review.  Provide mentorship and support to team members.

• Actively participate in innovation, ideation, and research discussions and collaborate effectively with peers in the analytics & AI research community.

What you will need:

• Bachelor's degree or equivalent experience; Graduate degree preferred.

• 8-10 years’ of experience with AI topics or working in data & analytics on AI related topics in the insurance industry is required.

• Insurance experience with increasing scope and responsibility in one or more lines of business such as property and casualty, and life and annuities.

• Experience with the deployment of advanced analytics capabilities to support short, mid, or long-term decision making in one or more functions such as actuarial science, underwriting, claims/billing, operations, call center, insurance asset management, etc.

• Ability to work in a small team setting.  Self-starter with the ability to successfully navigate through a matrixed organization.

• Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions.

• Exposure to advanced analytics tools and approaches via on-the-job experience or formalized education (backgrounds in math, statistics, and physics a plus).

• Exposure to using AI/ML in forecasting, or experience with quantitative analytics, statistics and coding languages (preferably Python) a bonus.

• Moderate willingness to travel; though primarily a virtual role, Analysts occasionally have opportunities for domestic and international travel.

#LI-Remote

#LI-JP4

Who are we? 

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work? 

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer? 

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. 

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 105,000 USD - 140,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to [email protected].

Job Requisition ID:91969

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