Financial Services Data Analytics & AI Expert
Remote - Texas
Full Time Senior-level / Expert USD 150K - 190K
Gartner
Gartner provides actionable insights, guidance, and tools that enable faster, smarter decisions and stronger performance on an organization’s mission-critical priorities.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 Senior Director 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. A Director 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 financial services organizations about market trends, vendors, services, governance and best practices in analytics & AI.
What you will do:
- Create high-quality, clear, actionable, “must-have research” content based on research best practices and methodologies in financial services in the topic of 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 of the market, and produce innovative, thought-leading, impactful, analytically-deep, fact-based research.
- Serve as a leading authority on financial services AI and advanced analytics topics, such as: understanding Financial services 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 financial services.
- 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 AI practices, technologies and approaches are impacting the financial services 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.
- 12+ years professional experience.
- Experience in Financial services AI topics or working in general D&A teams with increasing scope and responsibility.
- Experience with the deployment of advanced analytics capabilities to support short-, mid- or long-term decision making.
- 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.
What you will get:
- Competitive salary, generous paid time off policy, charity match program, Medical, Dental & Vision Plans, Parental Leave, Employee Assistance Program (EAP), 401K matching benefits and more!
- Collaborative, team-oriented culture that embraces diversity.
- Professional development and unlimited growth opportunities
#LI-remote
#LI-EH1
Who are we?
At Gartner, Inc. (NYSE: IT), we deliver actionable, objective insight that drives smarter decisions and stronger performance on an organization’s mission-critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have over 19,500 associates globally that support over 15,000 client enterprises in more than 100 countries.
What makes Gartner a great place to work?
Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We believe that a diversity of experiences makes us stronger—as individuals, as communities and as an organization. That’s why we're recognized worldwide as a great place to work year after year. We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner
What we offer:
Our people are our most valuable asset, so we invest in them from Day 1. When you join our team, you’ll have access to a vast array of benefits to help you live your life well. These resources are designed to support your physical, financial and emotional well-being. We encourage continued personal and professional growth through ongoing learning and development opportunities. Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.
Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 150,000 USD - 190,000 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 affirmatively 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 ApplicantAccommodations@gartner.com.
Job Requisition ID:87492By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
Tags: Arrow Data Analytics Machine Learning Mathematics Physics Privacy Python Research Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Conferences Health care Medical leave Parental leave Salary bonus Startup environment Team events Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs