Job Description :

The Assistant General Manager - Data & Analytics will demonstrate strong competencies across the following :

- Ensures alignment of the Tech strategy, vision, and portfolios with business vision across diverse Business units.

- Manage and oversee data & analytics Technology portfolio, drive effective usage and deployment cooperating with regional teams or Tech Vendors.

- Develops and manages strategic business partnership relationships with Data & Analytics office and facilitates effective collaboration and communications with all stakeholders.

- Provide inspirational and strategic leadership for a diverse team of technology professionals, including direct reports, peers & regional organization.

- Works with the Chief Data & Analytics Officer and business leadership team, providing technology insights and capabilities to support business decisions.

- Drives and facilitates effective collaboration and communications between the DT organization and all stakeholders.

- Ensure effective organizational structure for Data Team and that the organization has the required skills and capabilities.

- Leads workforce management approach, including the sourcing, training, and development of staff to build a strong pipeline of talent for future.

- Builds consensus among a diverse group of business process stakeholders. Facilitates a resolution to the challenges that arise from processes that span many functional areas of a company.

- Identifies current-state baselines and target performance metrics for the future state with a multi-year roadmap.

- Stays current with developments in new market trends and innovations in technology and the leadership of enterprise in areas of Data, Analytics, GenAI.

- Identifies and builds relevant Business and Technology KPIs to define success and implements operational procedures to achieve set targets.

- Understands regulations like PII, PCI and Data Privacy regulations to ensure security and compliance.

Profile, Skills & Experience :

- Masters or bachelors degree in business, computer science, computer engineering, electrical engineering, system analysis or a related field of study, or equivalent experience.

- 10+ years of information technology experience, ideally in development, implementation, and maintenance of large-scale / hybrid enterprise-wide Data Ecosystems that include (data warehouses, marts, big data platforms, reporting & visualizations).

- 5+ years of experience in leading / implementing Advanced Analytics leveraging AI/ ML/ GenAI.

- 5+ years of progressive leadership experience in influencing cross-functional teams and enterprise-wide programs, operating, and influencing effectively across the organization and within complex contexts.

- Experience on Cloud based (PaaS) dataplatforms like Google, Azure & Data Integration tools (ETL/ APIs...).

- In-depth knowledge of B2B, B2C, and B2B2C process in a digital environment where cutting edge technologies were implemented.

- Experience in integrating complex, cross-corporate processes and information strategies, and/or designing strategic metrics and scorecards.

- Excellent business acumen and interpersonal skills; able to work across business lines at senior levels to engage, influence and effect change to achieve common goals.

- Analytical skills : outstanding analytical and problem-solving abilities.

- Ability to effectively drive business, culture and technology change in a dynamic and complex operating environment.

- Demonstrates an understanding of the existing systems and technologies of the organizations. Works with technology stakeholders to identify and prioritize opportunities for innovation in the existing systems and technology.

- Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences.

- Excellent planning and organizational skills with Knowledge of business models, operating models, financial models, cost-benefit analysis, budgeting and risk management.

- Understand and speak the language of the business.

Characteristics :

- Trusted and respected as a thought leader who can influence and persuade business and IT leaders.

- Comfortable, experienced, and accomplished at working with business executives, and able to push back in a professional and diplomatic way.

- Highly collaborative and supportive of business and of its ideals and strategies.

- Highly innovative with aptitude for foresight, systems thinking and design thinking.