Manager - Data Engineering (2-6 yrs)

Job Description :

The Manager, Enterprise Risk Analytics is an individual contributor role who will be primarily supporting the Enterprise Risk Management team with data execution needs while reporting to the Enterprise Risk Analytics team in India. The candidate will be responsible for using innovative analytical techniques to develop and execute data driven solutions that yield efficiencies and enhanced effectiveness across Enterprise Risk Management. This role will also be responsible for becoming a functional expert, while collaborating with

Synchrony Process Owners including VP and SVP levels in the US and India. The candidate will be expected to build partnerships with various US stakeholders as periodically this role may need to work US hours to support monthly and quarterly committee preparation cycles.

Key Responsibilities :

- Develop, manage, and execute data driven solutions and results primarily for the Enterprise Risk Management team.

- Support Risk functions and activities that include Synchrony's Risk Aggregation (RA) and Enterprise Risk Assessment program (ERA).

- Extract data sets for reporting and data quality, and perform debugging and root cause analysis where necessary.

- Work with ERM team to automate data sourcing while maintaining data validation calculations, controls, and Excel template for ERA and RA processes.

- Update Tableau dashboards report content and layout, and integrate reporting into executive and committee presentations.

- Support ERM projects to enhance the process and underlying technology.

- Execute ERM data and reporting needs on a quarterly basis to support committee presentation materials

- Support eGRC (system of record for processes, risks, and controls) reporting needs by building relationships with various datasets, developing quality assurance data controls, and testing/validating existing reports.

- May build and execute additional reporting as needed.

- Support tool/platform migration from Microsoft Excel to relevant Industry Standard tools.

- Work directly with SVP's and VP's, while leading the engagements and assessments.

- Problem solving through analytics to bring value add efficiencies to our customers that include solutions

involving automation, visualization, and analytical insight.

- Support and be a backup resource for reporting and analytics requests from other Risk Pillars including Compliance and Operational Risk.

- Engage in storytelling with the data output that will create a comprehensive view on what the data means including identified actions.

- Interact and present key data driven updates and key initiatives to stakeholders.

- Participate in the Risk Engagement Strategy process that will develop and drive improvements across the Risk Team.

- Perform other duties and/or special projects as assigned.

Required Skills/Knowledge :

- Bachelor's Degree in any discipline with 4+ years of relevant experience or in lieu of degree 6+ years of relevant experience.

- Minimum 4+ years' hands-on experience with Microsoft Excel; Proficient in advanced Excel formulas and demonstrated use of Excel to manage data templates.

- Minimum 2+ years' hands-on experience with one or more data analytics tools including Python, R, SAS, SQL, SPARK.

Desired Skills/Knowledge :

- Strong written/oral communication skills.

- Bachelor's Degree in a STEM related or Business field.

- Experience in consumer credit/risk analytics role and working with diverse stakeholders.

- Experience with Microsoft Office Suite such as PowerPoint.

- 2+ years' hands-on experience with Tableau or similar Visual Analytics tool such as SAS VIYA.

- Demonstrated ability to manage multiple projects, organize workflow, and prioritize work assignments.

- Proven ability to deliver data and reporting solutions for Business problems.

- Commercially effective and collaborative across teams and functions.

Eligibility Criteria :

- Bachelor's Degree in any discipline with 4+ years of relevant experience or in lieu of degree 6+ years of relevant experience.

- Minimum 4+ years' hands-on experience with Microsoft Excel

- Proficient in advanced Excel formulas and demonstrated use of Excel to manage data templates.

- Minimum 2+ years' hands-on experience with one or more data analytics tools including Python, R, SAS, SQL, SPARK.