Location: Jersey City, NJ, United States

Join our HR Control Management (CM) team today. The team maintains a strong and consistent control environment through a joint accountability model that aligns managers across each line of business, function, and region to mitigate operational risk. The team focuses on four areas: Risk Identification & Assessment, Control Design & Evaluation, Issues & Control Deficiencies, and Control Governance & Reporting.

As a Control Management Vice President within the First Line of Defense in Human Resources, you advise, counsel, and challenge the business on risk mitigation strategies, and evaluate the effectiveness of processes, risks, and controls. The HR Product aligned Control Manager reports to a Product Control Lead and is responsible for building strong partnerships with HR Chief Data and Analytic Office (CDAO) leaders in a highly matrixed environment.

We are currently looking for a Control Management Vice President aligned to HR CDAO to enhance the control environment across HR data management (data governance, quality, access, privacy, and lifecycle controls), Data product management, AI/ML governance and risk assessment, and to enable the safe delivery of analytics and AI/ML capabilitieswhile ensuring HR data is managed in line with firm standards, regulatory expectations, and audit requirements.

Job Responsibilities:

• Work in partnership with key senior stakeholders within HR CDAO to identify and assess risks and provide control expertise on the design of controls to mitigate data related risks.

• Provide subject matter expertise in relation to data risks related to governance, use, protection, classification retention and destruction of data. This includes knowledge of the internal policies and procedures that support adherence to external legal frameworks for data privacy and use; as well as practical application of knowledge to deal with data related issues and their resolution in an operational or technology environment. 

• Establish / maintain a unified Control Manager operating model for AI initiatives: Co-led with AI Governance Coordinators - by defining roles and responsibilities, aligning strategic processes, documenting end-to-end CM process flows and RACI matrices, and the AI risk decision tree to accelerate delivery, strengthen risk and controls, and achieve consistent CM execution.

• Create / maintain a comprehensive framework for risk estimation and management across HR ensuring developer and enduser controls are applied consistently beyond CDAO organization and establishing a documented evidence model to demonstrate sustainable control effectiveness across HR. 

• Partner with the Data Product to design and operationalize the process from Risk management perspective, ensuring appropriate controls, documentation, evidence capture, and adherence to firmwide risk management requirements.

• Review and analyze program related data / metrics to proactively identify existing and emerging operational risks and issues to support business-related programs and strategies; Translate business requirements into effective and streamlined robust control solutions
• Provide leadership support for the end-to-end execution of the Control and Operational Risk Evaluation (CORE), including control deficiencies and resolutions, to reduce financial loss, regulatory exposure, and reputational risk
• Engage with control colleagues across the firm, business, operations management, legal, compliance, risk, audit, regulators and technology control functions
• Provide additional process and program portfolio support activities may including but not limited to:  Control Operational Risk Evaluation (CORE), Office of Legal Obligations (OLO), Inter Affiliate Services (IAS), third - part management and other smaller control programs.

 

Required qualifications, capabilities, and skills: 

• Bachelors degree or equivalent experience required
• 7+ years of financial service experience in controls, audit, quality assurance, risk management, or compliance 
• A working experience in one or more of: data governance (protection, classification, retention, destruction, quality and data use), AI governance, product governance, or technology governance within a large, regulated organization.
• Proficient knowledge of control and risk management concepts with the ability to design, create and evaluate the operational risk and control environment in conjunction with business partners
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Visio)

 

Preferred qualifications, capabilities, and skills:

• Ability to understand the business / knowledge of regulation surrounding business, including expertise in at least one HR discipline, preferably Workforce Data (Privacy and Data Laws), but including Benefits, Compensation, Employee Relations, Recruiting, Talent & Learning, , Opportunity & Inclusion, Regulatory Affairs, and HR Operations (Mobility, Payroll, Timekeeping, Retirement)
• Governance operating model design and execution skills 
• Excellent written and verbal communication skills with an ability to influence business leaders in a meaningful and actionable manner
• Exceptional interpersonal skills; exceptional collaboration and relationship building skills, able to influence without authority, drive closure, and handle competing priorities.
• Flexible, adaptable to shifting priorities; manages competing priorities to achieve the most effective result and able to work in a fast-paced, results focused environment
• Solid critical thinking, attention to detail and analytical skills; able to synthesize large amounts of data and formulate appropriate conclusions including: Understanding root cause / identifying control deficiencies, developing timely and sustainable solutions and analyzing metrics for emerging risk
• Implementation skills including: writing action plans and procedures, change management and the ability to make subjective and informed decisions based upon output, influence stakeholders and justify decision making; Ability to understand a process and associated risk to inform control design

Promote risk mitigation by challenging and assessing processes, risks, and control effectiveness across human resources operations.