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Director - Digital Product Analytics – Insights & Governance

American Express

Director - Digital Product Analytics – Insights & Governance

American Express

CHENNAI, Tamil Nadu, India

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Parental Leave

Learning Budget

Mental Health

Gym

Healthcare

401k

Flexible Hours

Parental Leave

Learning

Mental Health

Gym

Required Skills

Python

Power BI

AI/ML

Tableau

Data Modeling

Excel

LLMs

RAG

LangChain

Vectorization

Jira

Rally

Clarity

Apptio Target Process

Confluence

Agile

Program management

Project management

Data analytics

Data science

Strategic thinking

Executive communication

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

Within the Technology Business Enablement (TBE) organization, the Lean Portfolio Management (LPM) team is responsible for aligning investment and execution of enterprise priorities, accelerating strategic alignment and planning across Enterprise Centers of Excellence (COEs), Lines of Business (LOBs), and Technology. By integrating lean principles, LPM elevates transparency, optimizes resource allocation, and drives business and customer outcomes through continuous alignment of strategy, funding, and delivery.

The Director, Digital Product Analytics – Insights & Governance enables data-driven decision-making by creating scalable analytics solutions and actionable insights that optimize investment decisions, portfolio performance, and sequencing of enterprise priorities and resources. This role specializes in leveraging planning, delivery, productivity, OKRs, capacity, and funding data to inform investment decisions, strategic planning, and execution. It also champions advanced analytics, AI/ML adoption, and visualization capabilities to drive speed of delivery and enterprise outcomes.

This position reports to the Vice President, Lean Portfolio Management and will be based in Chennai, India.

Key Responsibilities

  • Define and execute the Enterprise Portfolio Insights & Governance strategy to deliver measurable business outcomes, accelerate decision-making, and enable speed and flow of delivery across the portfolio

  • Lead development and prioritization of the Enterprise Portfolio Data Insights & Governance reporting & analytics roadmap, ensuring alignment across stakeholders and user personas

  • Establish and enforce a robust governance framework for enterprise portfolio data to maintain hygiene, ensure accuracy, and uphold trust in insights, enabling reliable analytics and reporting at scale

  • Automate manual and repetitive tasks, including presentations and analytical workflows, to improve efficiency and scalability across TBE, LOBs, Product, and Technology

  • Champion integration of AI, ML, BI, and emerging technologies, ensuring adoption of industry best practices to advance analytics maturity

  • Transform complex data into compelling narratives, extracting actionable insights to craft recommendations and influence executive decision-making

  • Build and mentor a high-performing analytics team, fostering adaptability, collaboration, and continuous improvement while driving engagement, retention, and career progression

  • Demonstrate ability to self-start, carving opportunities out of white space and driving results with a high degree of independence

  • Excel in a fast-paced environment, adjusting to shifting priorities and guiding teams through change while maintaining focus on quality and outcomes

Required Skills & Qualifications

  • Minimum of 8–10 years of progressive experience in Data Analytics/Data Science, product development, and engineering teams, with a proven track record of leading enterprise-level initiatives

  • Bachelor’s Degree or higher in business, economics, statistics, mathematics, engineering, or a related field

  • Expertise in Python, Power BI, AI/ML, Tableau, Data Modeling, and advanced Excel skills

  • Experience with LLMs (Llama, OpenAI GPT), RAG, Lang Chain, and advanced vectorization techniques; familiarity with Agentic AI and Graph RAG use cases is a plus

  • Expert in enterprise collaboration tools and reporting suites including Jira, Rally, Clarity, Apptio Target Process, Confluence

  • Demonstrated success in managing large, complex products or portfolios with multiple stakeholders

  • Highly skilled in Agile product development methodologies, program and project management, with proven ability to define and deliver a product roadmap.

  • Exceptional collaboration and thought leadership skills, with a proven track record of partnering effectively across global teams to solve complex problems

  • Strong strategic and analytical orientation, combining numerical proficiency with forecasting capabilities and financial acumen to drive business insights and recommendations

  • Superb executive communication skills with the ability to capture and translate insights into a clear story and recommendations in a concise way to senior audiences

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • Competitive base salaries

  • Bonus incentives

  • Support for financial-well-being and retirement

  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

  • Generous paid parental leave policies (depending on your location)

  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

  • Free and confidential counseling support through our Healthy Minds program

  • Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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About American Express

American Express

American Express Company or Amex is an American bank holding company and multinational financial services corporation that specializes in payment cards. It is headquartered at 200 Vesey Street, also known as American Express Tower, in the Battery Park City neighborhood of Lower Manhattan.

10,001+

Employees

New York

Headquarters

Reviews

3.3

10 reviews

Work Life Balance

2.8

Compensation

3.2

Culture

2.5

Career

3.0

Management

2.0

45%

Recommend to a Friend

Pros

Good benefits and compensation

Training and professional development provided

Well-structured company with high-level professionals

Cons

Micromanagement and lack of trust from leadership

Fast-paced, high-stress work environment

Poor work-life balance with extended hours expectations

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · ヒューマンリソーシズ L2

0 reports

$168,350

total / year

Base

$67,340

Stock

$84,175

Bonus

$16,835

$117,845

$218,855

Interview Experience

10 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

10%

Interview Process

1

Application Review

2

HireVue Pre-Screening

3

Technical Phone Screen

4

Behavioral Interview

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit