Director - Analytics Consulting

Responsibilities

• Work on the latest applications of data science to solve complex business problems.
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs and business transformation initiatives.
• Present analytical solutions to business audiences, highlighting the robustness of the solution and its potential business impact.
• Lead end-to-end delivery of analytics programs, collaborating with client stakeholders and Tiger’s globally distributed teams.
• Identify process gaps and redesign workflows to improve efficiency, decision-making, and operational effectiveness.
• Drive cross-functional integration by connecting data flows, KPIs, and business processes across functions to enable unified reporting and enterprise-wide analytics adoption.
• Facilitate use-case prioritization workshops with business and technology stakeholders and develop analytics roadmaps aligned with strategic priorities and resource constraints.
• Define value frameworks, baseline metrics, and ROI measurement methodologies to quantify business impact and articulate the value delivered by analytics initiatives.
• Serve as a trusted advisor to executive and VP-level stakeholders, driving alignment, change management, and adoption of analytics-driven decision making.
• Establish governance mechanisms and performance dashboards to track program health, business outcomes, and realized value.
• Participate in discussions with team members to select and apply relevant analytical techniques and create actionable business insights.
• Make presentations to senior management, communicate results to business teams, and develop plans to operationalize analytics solutions.

Requirements

• 15-18 years of professional work experience, with at least 12 years in data analytics, analytics consulting, or business transformation programs.
• Ability to engage with executive and VP-level stakeholders to translate business problems into high-level analytics and transformation roadmaps.
• Strong consulting, stakeholder management, and problem-solving skills with the ability to influence cross-functional teams.
• Experience in program delivery, use-case prioritization, process improvement, and analytics roadmap development.
• Strong project management and team management skills with the ability to work effectively with global teams.
• Ability to quantify business impact and articulate ROI through executive-level storytelling and business cases.
• Solid understanding of statistical and machine learning algorithms.
• Strong SQL skills and hands-on experience with analytical tools such as R and Python, along with visualization tools like Qlik or Tableau.
• Exposure to cloud platforms and big data systems such as Hadoop HDFS and Hive is a plus.
• Ability to work closely with IT and Data Engineering teams to embed analytical outputs into business processes and operational workflows.