American Express - Senior Manager/Manager - Product Development - Data Science Team

Purpose of the Role :

- This position will be responsible for maintaining and enhancing our Enterprise Channel Personalization capabilities for select marketing channels within the Enterprise Personalization Data Science team. The team is responsible for optimizing the offer & communication mix to card members ensuring relevance and timeliness based on key objective functions across content types such as benefits, cross sell/upsell, non-card products, banking, servicing, etc.

- It is responsible for developing and implementing cutting-edge Data Science solutions to deliver on the key goals and objectives of the Enterprise in terms of personalization.

- The employee will have end-to-end responsibility of researching, simulating, implementing, and testing out the solutions and will have to regularly interact with key partners in Marketing, Technology, Product, Regulatory and Compliance teams. This is a fast-paced environment requiring a mix of strong relationship skills, passion for applied data science, self-leadership, and a singular focus on delivering results.

Critical Factors to Success

Business Outcomes:

- Drive billing, revenue growth and profitability through advanced analytical techniques

- Maximize business returns by institutionalizing efficient and accurate models/analytics

- Innovate Modeling and feature engineering techniques

- Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning

Leadership Outcomes:

- Puts enterprise thinking first, connect the role's agenda to enterprise priorities and balances the needs of customers, partners, colleagues & shareholders.

- Leads with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

- Demonstrate learning agility, make decisions quickly and with the highest level of integrity

Past Experience

- 0-3 years of experience in Analytics, Data Science, Machine Learning or related fields

Academic Background:

- Engg, MBA, Master's Degree in Economics, Statistics or related fields From Top Tier Institutes

Critical Factors to Success:

- Analytical Mindset & Technical Expertise

- Team Player

- Ability & Motivation to learn new technical skillsets

- Structured Thinking

- Communication and Presentation Skills

Functional Skills / Technical Skills:

- Proficiency & experience in econometric, statistical, analytical and ML techniques

- Proficiency in ML languages (Python; Hive) and SAS/SQL

- Ability to drive project deliverables to achieve business results

- Ability to work effectively in a team environment

- Strong communication and interpersonal skills

- Ability to learn quickly and work independently with complex, unstructured initiatives

Behavioural areas :

- Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective

- Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential

- Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage