Director, Data Analytics
Plaza, 751 Broad St., Newark, NJ, United States
Full Time Executive-level / Director USD 164K - 222K
Prudential Financial
Helping individuals and institutions improve their financial wellness through life & health insurance, retirement services, annuities and investment products.Job Classification:
Data Science & Analytics - Data Science & AnalyticsABOUT NON-FINANCIAL RISK MANAGEMENT
Non-Financial Risk Management (NFRM) is a construct which integrates common Operational Risk Management, Internal Audit, and Compliance activities. This exciting position will offer a qualified individual the opportunity to gain broad understanding of business processes and develop data analytics solutions in support of NFRM’s core mission; to protect Prudential’s reputation and assets. As a member of the Data Analytics Shared Service Center, you will lead execution of a united strategy and work collaboratively with global technology and data partners to drive completion of data and technology projects. You will gain exposure to a breadth of areas while supporting advisory and assurance efforts across Prudential’s businesses and corporate centers.
This position is Hybrid and requires your on-site presence at least three-days per week.
What you can expect:
Manage NFRM DA & AI roadmap and support the execution of new use cases to improve efficacy of risk advisory and control assurance activities.
Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
Establish relationships with stakeholders in Operational Risk Management, Compliance, and Internal Audit to gain an understanding of key business processes, risks and controls, as well as support data resources, flow of information and ways in which information can be leveraged in the audit process.
Drive execution of risk- and control-based metrics and scenarios from data acquisition through production implementation
Understand data consumption layers to empower use of data to support monitoring and testing activities by control functions
What you'll need:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Experience with agile development methodologies
Strong understanding of data warehousing concepts, ETL processes and data modeling concepts
Knowledge of data integration tools and technologies (eg SSIS, Informatica, Talend, Purview)
Experience with SQL and relational databases
Familiarity with cloud platforms (Azure, AWS) and their BI-related services
Proficiency in data analysis tools and programming languages such as Python, SQL, and SAS.
Experience with data visualization tools like Power BI and/or Tableau
Strong written and oral communication skills. Demonstrated ability to present complex information with simplicity
Knowledge/experience in Auditing, Risk, and/or Compliance a plus
It’d be a plus if you had:
At least 10 years of experience or demonstrated expertise with the following:
Proven track record of leading data analytics teams and projects.
Experience in developing and implementing data-driven strategies.
Significant experience in AI and machine learning, including implementing machine learning models and AI solutions in a business context.
Market competitive base salaries, with a yearly bonus potential at every level.
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
401(k) plan with company match (up to 4%).
Company-funded pension plan.
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com.
If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.
Tags: Agile AWS Azure Classification Computer Science Data analysis Data Analytics Data visualization Data Warehousing ETL Finance Informatica Machine Learning Mathematics ML models Power BI Python RDBMS SAS SQL SSIS Statistics Tableau Talend Testing
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Insurance Medical leave Parental leave Salary bonus Wellness
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