Senior Operational Risk & Data Analytics Auditor
Teradata · Posted Sep 29
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
Teradata's global Enterprise Risk and Assurance Services (ERAS) team provides risk-based, analytics-enabled assurance across financial, operational, compliance, procurement, and people processes for a data and analytics platform business that supports on-premises, cloud, and hybrid deployments. The team is expanding its AI and Data Analytics program toward scalable risk intelligence and continuous monitoring. This senior auditor role designs and executes data-enabled audit procedures, builds repeatable analytics routines, dashboards, and exception reporting, and translates analytics results into management-ready risk insights.
What you will do
- Support ERAS’s AI and Data Analytics area by designing, executing, and documenting analytics-enabled assurance procedures across risk-based audits, operational reviews, and management consultations.
- Analyze structured data populations to identify anomalies, trends, control exceptions, policy non-compliance, operational inefficiencies, and emerging risk indicators.
- Develop repeatable analytics routines, dashboards, exception reports, and supporting documentation that strengthen audit coverage and continuous monitoring capabilities.
- Use data analytics, process mapping, benchmarking, and root-cause analysis to evaluate operating risk, process effectiveness, governance routines, and management oversight.
- Partner with ERAS team members to advance AI-enabled audit and analytics use cases, including data preparation, logic validation, prompt/workflow design, output review, and documentation of human judgment.
- Translate analytics results into concise, management-ready insights, including what changed, why it matters, who owns the risk, and what action should be considered.
- Support testing and reporting over spend, procurement, corporate card, T&E, people, vendor, compliance, and other operational data sets as the DA program expands.
- Evaluate the design and operating effectiveness of business processes, controls, and data quality routines, including whether evidence is sufficiently complete, accurate, and defensible.
- Develop high-quality audit workpapers, analytics documentation, testing support, and reporting materials aligned with professional standards and ERAS methodology.
- Contribute to continuous improvement of ERAS analytics methodology, including standard scripts, data dictionaries, control libraries, dashboards, AI-use documentation, and review checklists.
- Bring a consultative mindset while maintaining independence, professional skepticism, data integrity discipline, and objective judgment.
Skills used in this role
What the employer is looking for
- 5+ years of experience in internal audit, operational risk, data analytics, audit analytics, risk advisory, compliance assurance, business process reviews, or related risk/control disciplines.
- Hands-on experience using data analytics to support audits, risk assessments, monitoring routines, exception testing, or operational reviews.
- Strong understanding of operational risk, governance, internal controls, business process improvement, and evidence-based assurance.
- Ability to analyze full or large data populations and identify patterns, outliers, duplicates, policy exceptions, control gaps, or process inefficiencies.
- Practical experience with one or more analytics or reporting tools such as Excel, Power BI, Tableau, SQL, Alteryx, Python, R, or similar tools.
- Ability to validate data outputs, explain methodology clearly, and distinguish between a data anomaly, a control issue, and a broader operating risk.
- Strong written and verbal communication skills, including the ability to produce clear, concise, leadership-ready reporting based on analytics results.
- Experience working cross-functionally with business stakeholders and influencing action without direct authority.
- Bachelor’s degree in Data Analytics, Information Systems, Accounting, Finance, Business, Risk Management, Computer Science, Statistics, or a related field.
Preferred qualifications
- Experience with audit analytics, continuous monitoring, fraud analytics, procurement/spend analytics, corporate card/T&E analytics, third-party risk analytics, people analytics, or compliance monitoring.
- Experience supporting AI-enabled workflows, automation pilots, machine-learning-adjacent analytics, prompt-based analysis, or responsible use of AI tools in audit/risk work.
- Working knowledge of data quality concepts, data lineage, data governance, model/output validation, access controls, or reporting control design.
- Experience in a global technology, SaaS, cloud, data, or software company.
- Professional certification such as CIA, CISA, CRMA, CPA, CFE, CDP, PMP, or data analytics-related credential.
- Familiarity with IIA Standards, COSO, ISO, NIST, DOJ compliance program expectations, AI governance concepts, or other governance/risk frameworks.
- Experience preparing materials for senior leadership, risk committees, audit committees, or management governance forums.
Benefits and support
- Flexible work model with trust to make decisions about how, when, and where you work
- Well-being programs focused on thriving personally and professionally
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
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