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IT & AI Risk Management Lead

Allstate
San Francisco, California, US
$85.6K-$152.7K a year
Full-time

Allstate

Get an online insurance quote for quality coverage in the blink of an eye. Allstate offers insurance for your car, home, rental, motorcycle and more.

Increase your chances of an interview by reading the following overview of this role before making an application.

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties.

For more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs.

Job Description

As an IT & AI Risk Management Lead, you'll have accountabilities to help identify, analyze, manage, challenge, aggregate, and report on technology, AI and model risk.

You'll develop relationships with key stakeholders, lead and execute risk and return reviews to identify risk mitigation gaps and opportunities, and provide governance and monitoring oversight for technology, AI, and model risk.

KEY RESPONSIBILITIES

  • Build and maintain robust relationships with business partners to stay abreast of top risk and control issues, and to understand and support enterprise strategy for technology, AI, and model.
  • Lead and execute cross-functional risk and return reviews, control testing, monitoring, and health checks of company processes, standards for technology, AI and model risk management.
  • Develop and communicate risk and return transparency in a meaningful manner for various audiences (e.g., risk owners, various risk committees, key senior leader stakeholders, etc.).
  • Remain up to date on laws and regulations affecting the business areas (technology, AI, model).
  • Research and evaluate emerging trends and threats in technology, AI, and model to identify risk or emerging risk.
  • Lead and execute various model risk strategy tracks across the enterprise model risk management teams.
  • Coordinate the implementation of Generative AI and broader AI deployment requirements across the enterprise.
  • Partner with Business Unit CROs, leaders, model stewards and developers to integrate 1st line controls and capabilities into enterprise model risk management.

SUPERVISORY RESPONSIBILITIES

Lead cross-functional teams across the risk organization to support strategic initiatives and run the business testing and monitoring oversight efforts.

EDUCATION AND EXPERIENCE

  • 4-year bachelor's degree (technology or data science related degree preferred).
  • 5 or more years risk management or audit experience in technology / AI / model (preferred).
  • In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
  • Knowledge of operational risk frameworks and governance risk and compliance tools and processes (preferred).
  • Financial services industry experience (preferred).

CERTIFICATIONS, LICENSES, REGISTRATIONS

CISA, CRISC, CISSP, GIAC, ITIL (preferred).

FUNCTIONAL SKILLS

  • Adept in technology, AI / model, and data management.
  • Adept in risk assessments, analysis and risk mitigation and can coach less experienced team members.
  • Strong critical thinking, adaptability, and problem-solving skills with the ability to navigate around complex business and technology issues.
  • Able to partner and support / embed governance controls in 1st and 2nd line.
  • Can identify and communicate cross-theme risks and possible solutions for complex initiatives.
  • Able to identify risk theme insights and applicable KRIs.
  • Ability to build and leverage key relationships to stay abreast of risk and control issues.
  • Strong communication (written and oral) skills with the ability to communicate complex subject matter effectively using a range of communication styles and methods.
  • Strong leadership, project, and time management skills, with the ability to effectively prioritize and lead cross-functional engagement teams to deliver desired outcomes by due dates.
  • Ability to conduct research and evaluate emerging trends and threats in technology, AI, and model to identify areas where risk may be an issue in the future.
  • Ability to consider interdependencies, industry trends, business & economic conditions and anticipate or understand implications when making recommendations.

Compensation offered for this role is $85,600.00 - 152,650.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo.

And one where you can impact the future for the greater good.

Good Hands. Greater Together.

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5 days ago
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