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Tiger Analytics

Delivers Data and AI transformation

Sales Director - Banking & Financial Services

Account ExecutiveConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • At least 12 years of experience in client-facing sales, account management, or business development within technology consulting and data or artificial intelligence services.
  • A bachelor's degree, preferably in Finance, Economics, Engineering, Mathematics, Statistics, or a related quantitative discipline.
  • Deep expertise selling Analytics, Big Data, Cloud, and AI solutions to US Fortune 500 banking, financial services, or fintech enterprise clients with revenues above $1 billion.
  • Industry experience in Commercial and Retail Banking, Credit Risk Modeling, Anti-Money Laundering and Fraud Detection, Wealth and Asset Management, Capital Markets, and Customer 360 or Personalization.
  • Strong understanding of modern financial data architectures, governance, regulatory expectations such as CCAR, CECL, and BCBS 239, and enterprise security frameworks.
  • Ability to navigate complex banking organizational hierarchies, procurement cycles, and vendor risk management assessments.
  • Relationship-building and management skills with senior business and technology stakeholders up to the C-suite.
  • Willingness to travel across major North American hubs as needed to drive client relationships.
  • Cross-cultural and onshore-offshore delivery model experience working with globally distributed presales, domain, and delivery teams.
  • Prior experience with CRM tools such as Salesforce, ZohoCRM, or HubSpot.
  • A master's degree or MBA is a plus.

Responsibilities

  • Build first impressions and relationships with C-level executives, SVPs, VPs, and Managing Directors across Retail and Commercial Banking, Wealth Management, Risk and Compliance, and Enterprise Data and AI at top financial institutions.
  • Develop strategic partnerships with major cloud ecosystem and platform leaders, including AWS, Azure, GCP, Databricks, and Snowflake.
  • Deliver high-impact presentations and tailored solution pitches showcasing AI, Generative AI, Risk and Fraud Analytics, and Data Platform Modernization capabilities.
  • Participate in relevant industry conferences, executive roundtables, and regional banking and financial services events.
  • Generate qualified leads and transition them into multi-million-dollar long-term accounts across banks, fintechs, asset managers, and financial services providers.
  • Drive client acquisition and revenue growth in the Banking and Financial Services sector.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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