- Strategic Guidance: Provide expert advice on data and AI strategies to help clients achieve their business objectives.
- Engaging Executives: Interact with CXO-level executives to comprehend their challenges and opportunities, offering customized recommendations that add value.
- Best Practices Development: Create and communicate best practices in data management, AI deployment, and analytics, ensuring clients embrace cutting-edge approaches.
- Industry Insight: Stay abreast of industry trends and advancements in data and AI, contributing to the firm's thought leadership and knowledge pool.
- Practical Expertise: Utilize hands-on experience to analyze client data, prototype AI solutions, and showcase potential outcomes.
- Team Collaboration: Collaborate closely with internal teams to align advisory services with client requirements and deliver comprehensive strategic solutions.
- Value Demonstration: Showcase the impact of data and AI strategies through detailed business cases, performance metrics, and ROI assessments.
- Experience Level: Minimum of 15 years of experience in data science, AI, and analytics, with a solid background in advising senior executives.
- Expert Proficiency: In-depth knowledge of data management, machine learning, AI frameworks, and analytics tools.
- Education Background: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Additional degrees or relevant certifications are advantageous.
- Strategic Visionary: Ability to craft and articulate a clear data and AI strategy that aligns with client business objectives.
- Hands-On Capabilities: Proficient in utilizing data science tools and AI platforms to analyze data and construct models.
- Strong Influence: Commanding presence and adept at influencing and engaging with senior executives and stakeholders.
- Communication Skills: Outstanding verbal and written communication abilities, with the knack for explaining complex technical concepts in business-friendly language.
- Problem-Solving Skills: Robust analytical and problem-solving skills, focusing on delivering innovative and pragmatic solutions.
- Prior experience with leading consulting firms or in a strategic advisory capacity in the domain of data and AI.
- Well-regarded as a thought leader in data and AI, with publications or speaking engagements.
- Competitive salary ranging up to £240,000 per year.
- Performance-driven bonus potential of up to 40% of the base salary.
- Complete benefits package encompassing health coverage, pension plan, and more.
- Opportunities for professional growth and career advancement.
- A vibrant and cooperative work environment with exposure to high-profile clients and projects.
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Chief Data Officer - London Area, United Kingdom - Anson McCade
Description
We are excited to collaborate with a well-known MBB client, recognized for their strategic consulting offerings and industry expertise. They are in search of a skilled Director of Data & AI to offer expert advisory services to their esteemed clientele. In this role, you will be hands-on in providing guidance on best practices, with a focus solely on advising and not implementation, ensuring clients receive top-notch strategic direction.
Key Role Details:
As the Director of Data & AI, your primary responsibility will be to guide clients on effective strategies for utilizing data and artificial intelligence to propel business transformation and foster innovation. Working closely with senior executives, you will deliver insights and strategic suggestions that shape their data and AI strategies. This position demands a combination of strong technical knowledge and strategic capabilities to influence and steer client decisions at the highest echelons.
Main Responsibilities:
Requirements for the Role:
Preferred Qualifications:
Job Perks:
How to Apply:
If you are a strategic leader who is hands-on, passionate about data and AI, and has a proven track record of advising at executive levels, we are interested in hearing from you. To apply, kindly send in your CV and a cover letter outlining your relevant experience and strategic vision for data and AI.
