Tiger Analytics

About the Company

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.

Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.

If you're keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

Listed Jobs

Company Name

Tiger Analytics

Job Title

Databricks SME/Architect

Job Description

**Job Title**: Databricks SME/Architect **Role Summary**: Design and implement data security solutions within the Databricks platform, focusing on access control, integration, and alignment with enterprise architecture. **Expectations**: Minimum 12+ years in Data Engineering, expertise in data security and Databricks, with advanced coding and analytical capabilities. **Key Responsibilities**: - Analyze data access policies, security protocols, and data classification procedures to identify risks and recommend mitigation strategies. - Design data access control mechanisms in Databricks using Unity Catalog and other security features. - Develop integration guidelines to connect Databricks with third-party security tools and implement auto-classification, tagging, and logging via pseudocode. - Collaborate with Platform Architects to ensure alignment with unified access management (UAM) architecture. - Document design and implementation details of Databricks security solutions. **Required Skills**: - Advanced knowledge of data security principles, best practices, and access control strategies. - Expert proficiency in Databricks platform, Unity Catalog, and data access control mechanisms. - Experience in data classification, masking, and secure data integration. - Strong coding skills in Python/Scala. - Strong analytical, problem-solving, and cross-team collaboration abilities. **Required Education & Certifications**: - Bachelor’s degree in Computer Science or related field. - Relevant certifications in data engineering (e.g., Azure Data Engineer, AWS Data Engineering) or data security (e.g., CISSP, CISM) preferred.

Palo alto, United states

On site

Senior

30-12-2025

Company Name

Tiger Analytics

Job Title

AI Product Manager - Analytics Consulting - Banking

Job Description

Job title: AI Product Manager – Analytics Consulting – Banking Role Summary: Own product vision, strategy, and end‑to‑end delivery of AI‑driven analytics solutions for the banking sector, driving market adoption, stakeholder alignment, and regulatory compliance. Expectations: Deliver measurable business value through AI products, meet OKRs/KPIs, achieve successful go‑to‑market launches, and maintain high stakeholder engagement. Key Responsibilities: - Define product strategy, roadmap, and value proposition for AI‑enabled banking solutions. - Translate business challenges into clear requirements, user stories, and SRS documents. - Coordinate cross‑functional teams (engineering, data science, design) to prototype, validate, and ship products. - Own product OKRs/KPIs, track performance, and iterate based on data insights. - Drive go‑to‑market initiatives, including demos, stakeholder briefings, and marketing materials. - Ensure compliance with BFS regulatory, risk, and security standards. - Communicate progress, risks, and outcomes to senior leadership and key stakeholders. Required Skills: - 10+ years product management experience in high‑tech, AI/ML product development. - Proven expertise in banking & financial services product lifecycle. - Deep technical understanding of generative AI, large‑language models, ML pipelines, and cloud architecture. - Strong analytical, prioritization, and decision‑making capabilities. - Excellent written and verbal communication; adept at presenting to executive and technical audiences. - Influential stakeholder management and cross‑team collaboration. - Experience delivering end‑to‑end solutions in fast‑paced enterprise environments. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, Business, or related field. - MBA or equivalent advanced degree preferred. - Relevant product management certifications (e.g., Pragmatic Institute, AIPMM) desirable.

Dallas, United states

Hybrid

Senior

02-02-2026