AI & Analytics Consulting Manager

🕒 May 12

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Work directly with business stakeholders and client teams to understand operational challenges, map existing business processes, and identify automation opportunities. • Lead end-to-end business process mapping initiatives using BPMN methodologies and Camunda workflow orchestration tools. • Create deterministic process maps, define subprocesses, establish operational guardrails, and design scalable workflow automation solutions. • Build and implement AI-driven automation solutions using AI automation tools and agentic AI frameworks. • Collaborate with client stakeholders to translate business problems into high-level analytics, automation, and AI solution approaches. • Drive customer-facing discussions, workshops, and consulting engagements with strong communication and presentation capabilities. • Present analytical and automation solutions to senior business audiences, highlighting business impact, scalability, and operational efficiency gains. • Participate in process transformation and workflow optimization initiatives across Operations and Finance functions. • Work with globally distributed analytics, IT, and Data Engineering teams to operationalize automation and analytics solutions within enterprise systems. • Contribute to solution design discussions by applying relevant analytical, automation, and process optimization techniques. • Manage analytics and automation projects end-to-end including stakeholder communication, execution tracking, governance, and delivery management. • Leverage process mining tools to analyze business workflows, identify inefficiencies, and recommend automation opportunities.

🎯 Requirements

• 6–10 years of professional experience with at least 5 years in Analytics Consulting, Process Transformation, Automation, or related roles. • Strong stakeholder management and customer-facing consulting experience is mandatory. • Excellent communication and presentation skills with strong spoken English and professional client interaction capabilities. • Ability to independently conduct discussions with business users, executive stakeholders, and cross-functional teams. • Strong expertise in business process mapping and BPMN modeling is mandatory. • Hands-on experience with Camunda for end-to-end process mapping and workflow orchestration is required. • Experience with process mining tools is highly preferred. • Experience building automation solutions using AI automation platforms or agentic AI frameworks is preferred. • Strong consulting mindset with the ability to understand business problems and recommend practical automation solutions. • Understanding of Operations and Finance processes is preferred. • Solid understanding of analytics, statistical techniques, and machine learning concepts is a plus. • Strong project management and collaboration skills with experience working across global teams. • Hands-on experience with SQL, Python, or R and visualization tools such as Tableau or Qlik is preferred. • Exposure to cloud and big data technologies such as Hadoop HDFS and Hive is a plus. • Bachelor’s degree in Business Analytics, Engineering, Computer Science, MBA, or equivalent practical experience. • Preferred: Exposure to process mining tools and methodologies. • Experience with automation and AI tools (RPA, IDP, OCR, NLP, ML integration). • Familiarity with API-driven and event-driven workflow design. • Experience working in agile, cross-functional teams. • Data literacy and SQL proficiency and the ability to translate process KPIs into queries and reusable views that support monitoring, dashboards, and value realization. • Exposure to a programming language such as Java, Python, or JavaScript is a plus.

🏖️ Benefits

• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.