What you get to do in this role:

• Partner with the Data Analytics Leader in collaboration with the Internal Audit, Enterprise Risk and SOX leaders to design and execute the data analytics strategy and roadmap, helping build and scale the program from the ground up.
• Build scalable analytical frameworks to detect anomalies, identify risk indicators, surface process inefficiencies, and flag policy violations and potential fraud across the organization. Scope includes data preparation, validation, visualization, documentation, and presentation of results.
• Develop interactive data visualizations and executive dashboards in Power BI that translate complex datasets into compelling, actionable narratives for audit teams and business stakeholders.
• Drive the evaluation and adoption of AI and automation within Analytics including use cases for continuous risk monitoring, predictive analytics, agent orchestration, and intelligent workflow automation across the audit lifecycle.
• Architect and maintain curated datasets, reusable views, and pre-built audit universes—that reduce discovery time and enable repeatable analytics across engagements.
• Partner with cross-functional data teams, Business Intelligence, and business unit stakeholders to navigate siloed data environments, understand data lineage, and establish efficient data access pathways for audit analytics.
• Contribute to the development of the Internal Audit data map, cataloging enterprise data sources and visualizing coverage to inform risk-based audit planning and prioritization.
• Provide a perspective on approach, technology, and innovation to challenge the current way of thinking and help the audit function build analytics capabilities that leverage emerging technologies and scale with organizational growth

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Minimum 12+ years of industry experience including 5+ years delivering data analytics, insights, and reporting in support of internal audit, risk management, compliance, or related governance functions.
• Expert knowledge of database technologies with deep proficiency in SQL and hands-on experience working within cloud data platforms such as Snowflake.
• Deep experience in data visualization and reporting using Power BI or similar tools, with a demonstrated ability to build dashboards that drive decision-making.
• Strong ability to work with heterogeneous and siloed datasets across enterprise environments, including unstructured data sources. Familiarity with data quality frameworks, data lineage, and data governance practices is a plus.
• Excellent written and verbal communication skills with a demonstrated ability to present complex analytical findings to senior management. Ability to operate independently, challenge prevailing opinions constructively, and manage multiple concurrent engagements.
• Experience in leveraging or critically thinking about how to integrate AI into analytics work processes, decision-making, or problem-solving. This includes using AI-powered tools, enabling AI-driven insights, or exploring AI’s potential impact on audit, risk, and analytics functions.
• Experience in a Big 4 firm’s data management, advisory, or audit analytics practice is a plus. Certifications in data science, analytics, or audit (CIA, CISA, CPA) are a plus.
• BA/BS in Computer Science, Data Science, Statistics, Mathematics, Economics, Business, or a related analytical field.

FD21

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Equal Opportunity Employer

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

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It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.