AVP, Business Intelligence Developer (L11)

Job Description:

Role Title: AVP, Business Intelligence Developer (L11)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members.

• We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Organizational Overview :

The Business Intelligence and Reporting team is a part of the Technology and Operations team. We are an Enterprise Operation team supporting primarily collections and quality. We provide reporting that is insightful, timely and actionable. We help drive agent and business performance while improving customer satisfaction.

Role Summary/Purpose:

As a Business Intelligence (BI) Developer, you will be a dynamic and highly motivated individual with extensive experience working with internal stakeholders in acquiring and refining business requirements for business intelligence solutions in the financial industry. You will design, develop, and implement Natural Language Processing (NLP) solutions that will lead to increased efficiency and profitability across Operations. You will work in the Apache Spark framework and its machine learning library (Spark ML) to build scalable NLP pipelines using Python and PySpark. 

Essential Responsibilities:

• As a Business Intelligence Developer, you will identify insights and opportunities for increased efficiency and growth across functions in operations.

• You will build and analyze metrics that can be leveraged for business performance measurement, management, QA enhancement and improvement and derive insights about behavior of customers and agents

• Provide advanced analytics and experimentation support, enabling data-driven solutions by applying statistical techniques to solve business problems

• Demonstrate subject matter expertise and technical leadership in data extraction and manipulation, dash-boarding, visualization, and analytical/statistical/data mining techniques

• Deliver user-friendly and informative dashboards and recurring reports, iterating and prototyping to meet business needs

• Responsible for creating, optimizing and automating Spark NLP pipelines to process large volumes of text data efficiently

• Extract relevant features from text data to improve the performance of NLP models

• Assess the accuracy of NLP models and identifying areas for improvement through metrics like precision, recall, and F1-score

• Connecting Spark NLP pipelines with other data processing systems and applications, including data warehouses, databases, and visualization tools. 

• Identify new innovative opportunities to drive performance improvement, efficiency, and cost savings

Required Skills/Knowledge:

• Bachelor’s degree (or foreign equivalent) in any discipline and minimum 5+ years of Business Intelligence experience within financial services, banking, or retail finance, or in lieu of degree, 7+ years' Machine Learning experience within financial services, banking, or retail finance

• Minimum of 3+ years of experience in Natural Language Processing

• Minimum 2+ years of Tableau, Power BI or other data visualization tool

Desired Characteristics:

• Strong background in ETL pipeline development in Anaconda Enterprise and proficiency in Python and SQL

• Experience working with Apache Spark framework and machine learning library (Spark ML) to build scalable NLP pipelines

• Extensive Python/PySpark ETL pipeline development experience

• Strong data visualization experience with Tableau utilizing data visualization best practices and performance optimization

• Effective communication skills with stakeholders, business analysts, architects and other developers

Eligibility Criteria:

Bachelor’s degree (or foreign equivalent) in any discipline and minimum 5+ years of Business Intelligence experience within financial services, banking, or retail finance, or in lieu of degree, 7+ years' Machine Learning experience within financial services, banking, or retail finance

Work Timings:

This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. 

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager and HRM before applying for any role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (Formal/Final Formal, LPP)

• L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

• L09+ Employees can apply

Grade/Level: 11

Job Family Group: