[TDC00711] - AI & Analytics Manager

SeniorTừ 5 năm kinh nghiệm

Đăng 4 tháng trước

Thỏa thuận

Tổng quan

Nhận việc làm tương tự qua Email

Role Purpose

The AI & Analytics Manager plays a critical role in operationalising AI and analytics strategy. This role is responsible for scaling AI adoption, analytics execution, and decision enablement across ANZ. The role owns analytics delivery, outcomes based measurement and AI-enabled workflows, partnering closely with the Director, AI & Analytics on architecture, governance, and advanced analytics strategy.

Key Accountabilities

Lead delivery of analytics and decision-enablement solutions across products and workflows
Design, build and maintain Power BI dashboards and automated reporting solutions
Embed GenAI and agentic AI into operational workflows to drive productivity and scale
Support datalake enhancement and analytics platform evolution
Partner with Product, Media Intelligence and Commercial teams to productionise AI and analytics MVPs
Contribute to advanced analytics initiatives including forecasting, predictive modelling and measurement

AI & Analytics Delivery

Lead AI adoption workshops across and share emerging AI trends, tools and tech across Groupe.
Translate complex data into actionable insights and decision-ready outputs
Standardise analytics delivery, reporting frameworks and insight dissemination
Ensure analytics solutions are scalable, repeatable and aligned to product roadmaps
Consult and on occasions lead AI augmentation across various product suite.
Manage Datalake in GCP. Enhancee datalake capabilities with required data and AI frameworks

Data Privacy & Governanace

Implement industry best standards to safeguard owned and operated data across systems
Deploy data privacy checks and balances within owned GCP instance to protect data confidentiality
Control access management across data to protect data integrity and governance

Stakeholder & Ways of Working

Collbaorate across functions around creating market led POVs around AI and analytics trends
Work cross-functionally across Product, APEX, Commercial, Sports & Entertainment divisions and manitain strong connect with Publicis Groupe Global data & intelligence teams
Support prioritisation and intake of analytics demand to reduce ad-hoc and reactive delivery
Communicate clearly with stakeholders on progress, risks and outcomes

Experience & Capability

5–7 years of experience in analytics, data, AI or product-led environments
Strong expertise in advanced analytics, analytics automation and workflow optimisation
Experience in embedding AI frameworks into team workflows and solutions.
Strong programing and ETL expertise covering SQL, Python & R
Experience working with cloud data platforms (GCP, Azure, AWS)
Data visualisation and insights enablement – PowerBI, LookerStudio, Tableau
Demonstrated ability to operationalise AI and analytics into business workflows
Strong communication skills with the ability to influence non-technical stakeholders

Benefits

Why you'll love working here

Performance bonus
Hybrid working time
Join Football, Ping-pong, Foosball, Cinema clubs
Team building activities, travel opportunities as spring & Summer company trip,..
Free snacks & beverages
Happy hours on every Friday
Private Health insurance package
Highly talented and dynamic team
An attractive salary and multiple opportunities to develop personally and professionally.
Mentorship program and a number of perks to all team members
23 Annual leave days

Success Measures

Increased adoption of automated reporting and dashboards across
AI workflows embedded into priority processes
Analytics and AI MVPs successfully moved into production
Reduced dependency on manual and ad-hoc analytics delivery

Reporting Line

Reports to Director, AI & Analytics

Kỹ năng

Artificial Intelligence, Analytics, Data Analytics, Machine Learning, Power BI, Looker Studio, Tableau, SQL, Python, R, ETL, Cloud Data Platforms, GCP, Azure, AWS, Data Visualization, Workflow Optimization, GenAI, Agentic AI, Forecasting, Predictive Modeling, Data Governance, Data Privacy