Senior Director Technology Risk Management

As a Senior Director, you will lead cross-functional teams across the globe, delivering critical solutions and services to world-leading market infrastructure operators. You will be responsible for essential project management activities and internal customer interaction.

You will have the opportunity to work in a strong experienced team, delivering complex technology solutions to international clients. You will work with and learn from subject matter experts and have the opportunity to take on more responsibility and progress within the project management team.

Besides working closely with your colleagues in Bangalore, you will also work closely with Nasdaq teams in other countries.

• Develop methodologies and tooling to embed the technology risk management framework across Nasdaq.
• Integrate risk tolerances into business decision-making.
• Establish internal standards alongside legal, compliance, technology, and infosec defining appropriate risk-based controls to identify and address risks from emerging technologies.
• Risk assess proposed use cases and partner with the business to control the responsible roll-out of technologies across the firm.
• Perform risk assessment of associated projects as they progress through the software development lifecycle into production.
• Establish reporting mechanisms to communicate risks across the portfolio of technologies.
• Lead risk management coverage for emerging technologies including artificial intelligence (AI) and ensure Nasdaq's alignment to evolving industry best practices.

Additionally, you will serve as a risk management subject matter expert for Global Technology, build key relationships with Global and Divisional Technology management, and contribute to the function's strategic initiatives in the context of GRMs risk frameworks.

The ideal candidate will have at least 15 years in a technology role with 3-5 years of experience managing risks associated with emerging technologies like AI, Web 3.0, cloud computing, and cybersecurity.

They must have existing knowledge of the types of risks associated with the use of algorithmic and generative AI - privacy, 3rd party, IP, and copyright legal risks, operational, and technology risks.

The candidate must also have in-depth knowledge in conventional technologies such as networking, databases, software development cycles, DevSecOps, CICD, software testing methodologies, cloud computing, IaC, Kubenetes, containerization, familiarity with industry standards and regulations such as GDPR, ISO 27001, etc., good knowledge of emerging AI regulation including US EOs, the EU AI Act, and AI risk management frameworks, NIST RMF.

The ideal candidate will be an innovative, strategic thinker who can challenge the status quo through openness and without judgment. They will generate energy and commitment, drive results, effect change, and have a positive impact on the organization.

They must possess strong analytical skills and the ability to assess complex technical environments for potential risks, knowledge and experience portraying complex and analytical information visually with high attention to detail and accuracy, excellent oral and written communication and interpersonal skills with the ability to collaborate effectively across diverse teams and geographic locations.

Experience presenting to and reporting into senior management forums, demonstrated ability to work independently and manage multiple priorities, demonstrated ability to develop trusted working relationships with all levels of an organization, ability to cultivate relationships and collaborate with multiple stakeholders including business leaders, legal, technology, willingness and ability to travel, education qualification bachelor's degree in a relevant field, e.g., Computer Science, Data Science, Information Technology, AI, masters degree a plus.