Job Description
We are looking for a Regional Data, Technology & Analytics Director to join, lead and shape our fast-growing Data Science & Technology Consulting practice within our firm MENA.Our firm helps Fortune 500 marketing and technology leaders craft and deliver their customer marketing technology vision. Our focus is on providing insight and recommendations across a clients digital marketing ecosystem. We analyze data, interpret it and uncover hidden opportunities for the client. We then support them to deliver industry leading solutions leveraging our data, technology, and analytics expertise.
Responsibilities
- Where they are today with respect to enabling capabilities across their entire marketing technology ecosystem (digital, offline, multi-media, measurement, data management)
- How their current state capabilities align to industry best practices, competitors, and their business needs
- What technology and data initiatives will enable them to achieve their business goals, while crafting the vision of their future state from an enabling capability perspective
- How to implement technology and data initiatives over time, detailing business benefits and value, while improving overall marketing and company performance
- Drive a compelling marketing technology point of view related to the ability to utilize both known and anonymous information to inform multi-media marketing execution and decisions
- Provide expertise, vendor knowledge, and industry best practices across digital technology components including:
- Data Management Platform (DMP)
- Digital Analytics and Measurement
- Decision Management and Personalization
- Tag and Pixel Management
- Content Management
- Demand Side Platforms (DSP) and Ad-Serving
- Customer Data Platforms (CDP)
- GA360, DV360, SA360 & Campaign Manger
- Secure and achieve Google Preferred Partner status for us in the MENA region
- Develop recommendations for how to best leverage information and technology to drive ROI across all digital media channels
- Outline how all digital technology and data components work together to support improved digital targeting or measurement capabilities
- Translate digital technology and data investments into direct and measurable business results
- Build relationships and manage client expectations by facilitating and driving client meetings and discussions, defining project objectives and approach, managing day to day delivery efforts
- Support our commercial interests in driving the execution of a consulting engagement including project definition, scoping, management, and delivery
- Support business development activities including identification, proposal development, and other pursuit activities
- Develop and maintain strong, long-term client relationships with senior level executives
- Partner with other constituents in management consulting, digital agency, quantitative analytics, and technology deployment to ensure recommendations are in line with best practices and current thought leadership
- Participate in practice building activities (e.g., conference participation, thought leadership development, market offering development, recruiting, asset development) and author case studies / white papers for internal and market consumption
- Overall, support the strategy on advanced data & analytics within MCN. This means to create, develop, and implement the product strategy, leading to a comprehensive product specification
- Bring data to life across multiple disciplines – from strategy, planning, media, digital, content, etc.
- Evolve audience data and insights practice by enriching data stack and launching of new products
- Vision in mapping business questions to data and analytical products
- Fosters a culture of data-driven decision making
- Become a thought leader on the value of data by finding new features or products by unlocking business possibilities
- Analyze data for trends and patterns using machine learning algorithms and Interpret data with a clear objective in mind
- Identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the team to strategize the development of data products
Education
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Bachelor’s degree from an accredited college/university; Master’s degree preferred. Course focus on engineering, computer science, statistics, marketing, or applied mathematics preferred.
Experience Level
- 5 -10 years’ experience in consulting, technology, or IT related field.
- 1 – 3 years’ experience in digital marketing implementation and execution specific to site, display, mobile and search marketing.
- Subject matter expertise in technologies and tools to support digital marketing media across at least 2 of the following digital channels: site, display, search, mobile and social.
- Working knowledge of technical concepts and tools including relational databases, customer data integration, analytic modeling, campaign management and business intelligence systems.
- Experience working in a digital agency, digital marketing provider, digital software provider, digital marketing organization, digital consulting firm or marketing service provider.
- Excellent structured communication skills with the ability to frame complex digital marketing and technical concepts in a way that facilitates discussion and deeper levels of understanding at our clients. Ability to bridge marketing and technology personnel.
- Strong MS PowerPoint skills and ability to present to technical, business, and marketing audiences
- Ability to engage at multiple levels within client organizations to influence decisions
- Experience across multiple industries is a plus, with specific experience in Telco, Financial Services, Retail, Healthcare, CPG and FMCG is strongly desired
- Ability to work in matrix environment and to serve as individual and team contributor, leading projects, and initiatives
- A self-starting orientation within a fast-paced environment with an intense desire/drive to “make things happen”
- Proficiency with data mining, mathematics, and statistical analysis
- Advanced pattern recognition and predictive modeling experience
- Experience with Excel, Tableau, SQL, and languages: Python, R
- Story-telling and Data Visualization
- Working knowledge of supervised and unsupervised machine learning techniques such as regression, clustering, classification, decision tree learning, and artificial neural networks
- Professional certifications in data science.