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Sr Mgr, Internal Audit Data Analytics

Job ID: 1710441
Category: Finance
Location: Charlotte, NC
Denver, CO
Post Date: September 20, 2017

COMPANY OVERVIEW:

Since 1918, it has been TIAA’s mission to serve, our ability to perform and the values we embrace that make us a different kind of financial services organization. We’re dedicated to serving the financial needs of those in the academic, medical, cultural, governmental and research fields, and committed to helping make lifetime financial well-being possible for them.

By building a culture that allows all employees to contribute their unique talents and skills, we’re able to provide our customers with fresh ideas and distinct perspectives to help them achieve their goals. We believe a diverse and inclusive workforce is one of our greatest strengths and a key measure of our success*.

For more information about TIAA, visit our website.

POSITION SUMMARY:

TIAA’s Internal Audit Division has an opening for a Senior Manager of Audit Data Analytics, with a focus on driving analytic efforts in support of internal audits, internal investigations, proactive fraud detection and the continuous auditing program. The qualified candidate will have strong knowledge and experience with systems, data and analytics across multiple platforms and environments within a large enterprise organization. This position will have an emphasis on analytics delivery and quality, responsible for partnering across the Division and TIAA to brainstorm, define, design and implement analytics and supporting procedures across projects and critical business areas. This is a very hands on role, requiring technical and leadership skills in driving to results, and managing a team of 3 to 4 resources. The incumbent will be responsible for reporting audit results to senior management; therefore, excellent verbal and written communication skills are a must. This position reports into the Director, Internal Audit Data Analytics, who heads the Data Analytics function for Internal Audit.

KEY RESPONSIBILITIES AND DUTIES:

  • Develops and implements operational and tactical plans related to the implementation of data analysis in support of the Internal Audit and Internal Investigation function’s goals and objectives. Consults and networks with senior and middle management to develop leading practices and synergies in the employment of audit data analytics tactics, techniques, and procedures. Manage analytics support of confidential and time sensitive investigations.
  • Manages a team of highly qualified data analysts and serves as a member of the Internal Audit management team.
  • Develops data analytic standards, strategies, and procedures in support of audits, investigations and proactive fraud detection projects.
  • Develops strong written deliverables, including reports and dashboards with business-relevant information. Presents analytics results to senior business and Internal Audit leadership.
  • Supervise, review and approve the work of data analysts and provide guidance to multiple individuals within the Division on analytic best practices.
  • Expertise in multiple advanced audit and quantitative / visual analytics techniques, methods, and tools such as SQL, SAS, Tableau, Python, Hadoop, Teradata, and/or Splunk. May implement robotics process automation (RPA) and machine learning within Internal Audit.
  • Contributes to the design and development of continuous auditing and controls monitoring dashboards across multiple, disparate business areas.
  • Understands industry-specific and relevant data analytics, business intelligence and quantitative analysis trends, techniques, and leading practices.
  • Contributes to the development of analysis products which shape internal audit risk assessments, audit plans, and scoping of complex audits, fraud reviews, and internal investigations. Works with the Audit Analytics Director and various Audit Directors to ensure budgets and schedules meet corporate and department requirements.
  • Works with extremely large and complex data sets. Requires technical expertise and capacity to assist in the most complex data analytics efforts.
  • Confers with business leaders, peers and managers to discuss audit business intelligence and audit quantitative analytics activities in order to resolve problems and recommend solutions.
  • Participates in formal internal and external networks coordinating among multiple disparate groups.
  • Provides input on matters regarding data governance, “big data”, data quality, RPA, machine learning and other relevant enterprise business topics. Challenges the organization’s strategic approach in these areas through continuous monitoring activities.

QUALIFICATIONS:

Required
  • Bachelor’s degree in Computer Science, Information Systems, or other relevant areas of study.
  • Eightor moreyears of experience in data analytics, systems analysis, data warehousing and/or audit.
  • Must have professional experience managing data analytics resources, effective team interactions, providing timely and constructive feedback, negotiating issues and resolving problems.
  • Must have professional management level experience in the use of data analytics tools including experience in the management and/or use of data analytics tools and platforms such as SQL, SAS, Tableau, Python, Hadoop, Teradata, and/or Splunk.
Desired
  • Relevant professional certification strongly preferred (e.g. CISA, CIA, CFE, CPA).
  • Master’s degree preferred.
  • Knowledge of data analytics in an audit environment is strongly preferred.
  • Desired knowledge of financial products, services and regulations; internal audit practices; risk management; and regulatory guidance and expectations (FRBB, OCC, SEC, State Insurance).
  • Strong knowledge and experience developing and delivering data analytics and continuous auditing/continuous monitoring programs. Strongly preferred.

Superior verbal and written communications skills.

Required
  • Bachelor’s degree in Computer Science, Information Systems, or other relevant areas of study.
  • Eightor moreyears of experience in data analytics, systems analysis, data warehousing and/or audit.
  • Must have professional experience managing data analytics resources, effective team interactions, providing timely and constructive feedback, negotiating issues and resolving problems.
  • Must have professional management level experience in the use of data analytics tools including experience in the management and/or use of data analytics tools and platforms such as SQL, SAS, Tableau, Python, Hadoop, Teradata, and/or Splunk.
Desired
  • Relevant professional certification strongly preferred (e.g. CISA, CIA, CFE, CPA).
  • Master’s degree preferred.
  • Knowledge of data analytics in an audit environment is strongly preferred.
  • Desired knowledge of financial products, services and regulations; internal audit practices; risk management; and regulatory guidance and expectations (FRBB, OCC, SEC, State Insurance).
  • Strong knowledge and experience developing and delivering data analytics and continuous auditing/continuous monitoring programs. Strongly preferred.
  • Superior verbal and written communications skills.

NOTE: The incumbent of this position will be designated as a ‘Tier 1 Access Person’ for personal trading purposes. Such a designation imposes restrictions on securities holdings and trading activities of the incumbent, and of certain family members, which should be fully understood before any offer of employment for this position is accepted.

Equal Employment Opportunity is not just the law, it’s our commitment. Read more about the Equal Employment Opportunity Law.


If you need assistance applying due to being visually or hearing impaired, please email Careers Help.


This organization is an equal employment opportunity (EEO) employer, dedicated to maintaining a work environment free of bias, harassment, discrimination and retaliation. As an EEO employer, this organization expressly prohibits discrimination, harassment, and retaliation on the basis of race, creed, ethnicity, color, age, religion, sex, sex stereotype, pregnancy (including childbirth, breastfeeding or related medical conditions where applicable), sexual orientation, gender, gender identity, gender expression, transgender, marital status, national origin, ancestry, physical or mental disability, requesting a reasonable accommodation based on mental or physical disability, medical condition (as defined by applicable law), genetic history and information, citizenship status, military or veteran status, or any other status protected by federal, state, or local law or ordinance or regulation (collectively referred to here as ‘protected characteristics’).


*©2016 Teachers Insurance and Annuity Association of America (TIAA), 730 Third Avenue, New York, NY 10017


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