IND Sr Director

Posted 3 Days Ago
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Puppalagunda, Manikonda, Rangareddy, Telangana, IND
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Lead enterprise AI and data strategy, drive generative and agentic AI initiatives, build global teams and CoEs (50–100+), own revenue and GTM, design and deliver end-to-end AI/ML solutions on cloud platforms, and scale reusable AI assets for measurable business impact.
Summary Generated by Built In
IND Sr Director, Data - GCC129

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Role Overview

We are seeking a highly accomplished Data & AI Leader to drive enterprise-scale AI transformation, Generative AI initiatives, and data-driven innovation. This role requires a strong blend of technical expertise, business acumen, leadership, and revenue ownership, with experience in delivering measurable business outcomes through AI solutions.

The ideal candidate will have a proven track record in building AI practices, leading global teams, driving GTM strategies, and achieving revenue or cost optimization goals through AI-led transformation.

Key Responsibilities

1. AI Strategy & Transformation

  • Define and execute enterprise-wide AI and Data strategy aligned with business objectives
  • Lead Generative AI and Agentic AI initiatives across functions
  • Drive digital transformation through adoption of AI/ML, cloud, and data platforms
  • Build reusable AI accelerators, frameworks, and assets

2. Business Impact & Revenue Ownership

  • Drive revenue generation through AI-led solutions, GTM strategies, and innovation programs
  • Own and contribute to pre-sales, RFP responses, and solution positioning
  • Deliver measurable business outcomes such as:
    • Revenue growth
    • Cost savings
    • Productivity optimization
  • Partner with leadership and stakeholders to identify AI opportunities and scale solutions

3. Leadership & Team Management

  • Build and lead high-performing global teams (50–100+ members)
  • Mentor data scientists, ML engineers, and AI specialists
  • Establish Centers of Excellence (CoE) for AI and analytics
  • Drive cross-functional collaboration across geographies

4. Solution Design & Delivery

  • Architect and deliver end-to-end AI/ML solutions across domains
  • Implement advanced analytics use cases such as:
    • Customer analytics & personalization
    • Fraud detection, AML, KYC
    • Lead scoring, segmentation, and sales optimization
    • Forecasting, anomaly detection, and automation
  • Ensure scalable deployment using cloud platforms (AWS, Azure, GCP)

5. Innovation & Emerging Technologies

  • Drive adoption of:
    • Generative AI (LLMs, prompt engineering)
    • Deep Learning, NLP, and Agentic AI systems
  • Stay updated on latest AI trends and build organizational capabilities
  • Develop innovative AI-powered solutions for customer and operational excellence

Required Qualifications

Technical Skills

  • Machine Learning, Deep Learning, NLP
  • Generative AI & Prompt Engineering
  • Python, SQL, NoSQL
  • TensorFlow / PyTorch
  • Data Visualization (Power BI, Tableau)
  • Cloud Platforms: AWS, Azure, GCP
  • Data Platforms: Snowflake, Big Data ecosystems

Business & Leadership Skills

  • AI Strategy & Digital Transformation
  • Stakeholder Management (including C-suite)
  • Program & Product Management
  • Pre-sales, GTM strategy, and Business Development
  • Team building and leadership

Key Success Metrics

  • Revenue generated through AI initiatives
  • Cost savings achieved via automation / analytics
  • Adoption and scalability of AI solutions
  • Team growth and capability development
  • Innovation and asset creation

About Us | Our Culture | What It’s Like to Work Here

Skills Required

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Generative AI and Prompt Engineering
  • Python
  • SQL
  • NoSQL
  • TensorFlow or PyTorch
  • Data Visualization (Power BI, Tableau)
  • Cloud Platforms: AWS, Azure, GCP
  • Data Platforms: Snowflake, Big Data ecosystems
  • AI Strategy, Digital Transformation and Program/Product Management
  • Stakeholder management including C-suite and pre-sales/GTM experience
  • Proven experience building and leading global teams (50-100+ members)
  • Revenue ownership and delivering measurable business outcomes (revenue, cost savings, productivity)

The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..

  • Retirement Support A 401(k) with matching plus an additional company contribution, alongside an employee stock purchase plan and no‑cost financial planning, signals robust long‑term savings support. HSAs/FSAs and related financial tools further strengthen overall financial well‑being.
  • Leave & Time Off Breadth At least 25 days of PTO to start, options to buy or roll over time, and paid parental leave indicate broad time‑off support. Paid leave for organ and bone marrow donation and generous disability coverage extend protection for significant life events.
  • Healthcare Strength Multiple medical, dental, and vision options with the company covering most medical and dental premiums reflect strong core health coverage. Wellness programs, fitness reimbursements, well‑being credits, and accessible behavioral health services expand depth and accessibility.

The Hartford Financial Services Group, Inc. Insights

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The Company
HQ: Hartford, Connecticut
20,002 Employees
Year Founded: 1810

What We Do

Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy

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