Senior Director – Analytics & AI (Intelligent Decisioning) at Trackmind

, , -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics, Data Science, Artificial Intelligence, Intelligent Automation, Data-Driven Decision Making, Innovation, Digital Transformation, Governance Models, Stakeholder Management, Cross-Functional Collaboration, Strategic Leadership, Change Management, Agile Thinking, Teamwork, Diversity And Inclusion, Customer-Centric

Industry

IT Services and IT Consulting

Description

The Senior Director – Analytics & AI will lead the global analytics, data science, AI, and intelligent automation agenda, driving data-driven decision-making and innovation across the organization. Reporting directly to the Chief Data & Analytics Officer (CDAO), this role is responsible for building best-in-class analytics capabilities, enabling intelligent decisioning, and supporting large-scale digital transformation initiatives. \n Key Responsibilities Lead and oversee Advanced Analytics, Data Science, AI, Innovation, and Intelligent Automation functions across the organization. Build, inspire, and mentor global, cross-functional teams, fostering a culture of data-driven excellence and innovation. Drive the development and enhancement of intelligent decisioning capabilities aligned with business objectives and customer experience goals. Establish and align governance models (hub-and-spoke) across global, regional, and departmental levels. Define and prioritize analytics and AI initiatives based on business value and strategic impact. Partner with business, digital, and data teams to transform the enterprise data & analytics landscape. Support end-to-end delivery of transformation programs and analytics-driven projects. Build and manage a strong ecosystem of internal and external partners to deliver multi-year roadmaps. Stay ahead of emerging trends in AI, analytics, and automation to drive continuous innovation. Required Experience & Qualifications 15+ years of experience in Analytics, Data Science, AI, or related domains. 10+ years of leadership experience managing global, multi-cultural, and distributed teams. Proven experience in the Food & Beverages or Manufacturing industry (preferred). Demonstrated success in transforming analytics organizations into best-in-class capabilities. Strong understanding of analytics frameworks, tools, technologies, and industry trends. Experience driving large-scale digital transformation and data strategy initiatives. Strong stakeholder management and cross-functional collaboration skills. Key Competencies Strategic Leadership: Ability to define and execute enterprise-level analytics and AI strategies. Decision-Making: Strong analytical mindset with the ability to solve complex business problems. Collaboration: Proven ability to influence and align stakeholders across global teams. Change Management: Experience driving transformation and fostering innovation at scale. Communication: Ability to articulate complex technical concepts to non-technical stakeholders. Partnership Building: Strong internal and external networking capabilities. Leadership & Behavioral Attributes Passion for data, AI, and emerging technologies with a continuous innovation mindset. Agile thinker with the ability to adapt to evolving business and digital landscapes. Strong focus on teamwork, collaboration, and relationship building. Inspirational leader who motivates teams and drives high performance. Resilient and composed, with the ability to navigate challenges and pivot strategies. Strong commitment to diversity, inclusion, and ethical decision-making. Customer-centric approach to all analytics and AI initiatives. \n

Responsibilities

This role is responsible for leading the global analytics, data science, AI, and intelligent automation agenda, reporting to the Chief Data & Analytics Officer. Key duties include building best-in-class analytics capabilities, enabling intelligent decisioning, and supporting large-scale digital transformation initiatives.