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- Tasks: Help enterprises become data-driven by developing and implementing data and AI strategies.
- Company: Join a leading firm focused on data management and AI solutions for diverse industries.
- Benefits: Enjoy flexible work options, professional development opportunities, and a vibrant company culture.
- Why this job: Be at the forefront of data innovation, driving impactful change and collaborating with industry leaders.
- Qualifications: Bachelor's or Master's in relevant fields with 15+ years of experience in data strategy and management.
- Other info: Global travel opportunities to engage with clients and represent the company at international events.
The predicted salary is between 54000 - 84000 £ per year.
As a Data and AI Strategy Consultant, you are responsible for helping enterprises to be data-driven and working closely with the data architecture leadership and IT leadership in developing and implementing data and AI strategies related to enterprise data management and ML, AI, and analytics. You will guide organizations through the process of optimizing data management, data governance, analytics, and business intelligence, enabling them to unlock actionable insights that drive better business decisions. You will provide support in developing accelerators, support RFPs, and creating more market opportunities. You will contribute to the data and AI revenue of the company. You will represent the organisation in international conferences, summits, drive catalyst projects and establish peer connect in the industry.
Responsibilities
- Data Strategy Development: Collaborate with senior leadership and stakeholders to understand business goals, challenges, and opportunities. Develop data strategies that align with business priorities, ensuring the effective use of data assets across the organization. Devise strategies for how the organisation can collect, store, manage, and utilize data effectively and prepare it for business consumption. This includes identifying key business objectives and determining how data can support those objectives. Define key performance indicators (KPIs) and data requirements to support business objectives.
- Data Governance & Management: Establish best practices, policies, and procedures for ensuring the quality, security, and integrity of data across the organization. Guide the implementation of data governance frameworks to ensure compliance, security, and accessibility. This may involve overseeing compliance with regulations such as GDPR and all other prevalent regulations. Assist in building data management processes and data architectures that support scalability and efficiency.
- Technology Evaluation and Implementation: Assess various data management technologies and tools to determine which ones best suit the organization's needs. They may also oversee the implementation of these technologies and ensure they integrate seamlessly with existing systems. Provide recommendations for business intelligence tools, dashboards, and reporting solutions to drive data-driven decision-making. Evaluate existing analytics practices and propose solutions for optimizing data analysis and reporting. The person has to be conversant with technologies like Snowflake, AWS, Tableau, Erwin, Kafka, and Striims and should be very well aware of their responsibilities.
- Data Transformation & Optimization: Lead clients in transforming their data infrastructure to support advanced analytics, AI, and machine learning initiatives. Recommend ways to optimize data storage, integration, and access to enhance performance and reduce costs. Assist clients in migrating from legacy systems to modern, cloud-based data platforms.
- Collaboration and Communication: Collaborate with cross-functional teams including IT, marketing, finance, and operations to understand their data needs and align data strategies with overall business objectives. Effective communication skills are crucial for presenting findings and recommendations to stakeholders at all levels of the organization. Lead workshops, training sessions, and presentations to promote data literacy and encourage a data-driven culture. Serve as a trusted advisor to executives and business leaders on data-driven initiatives.
Requirements
- Bachelor's or Master's degree in Data Science, Business Analytics, Computer Science, Information Systems, or a related field.
- At least 15+ years of experience in data strategy, consulting, or data management roles.
- Proven experience in developing and implementing data strategies for diverse industries.
- Strong understanding of data governance, data privacy regulations, and data security best practices.
- Expertise in data analysis, business intelligence tools (e.g., Power BI, Tableau), and analytics platforms.
- Solid understanding of data modeling, database management, and ETL processes.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
- Strong problem-solving skills and ability to translate complex data concepts into actionable insights.
- Excellent communication, presentation, and stakeholder management skills.
- Global travel to various customer locations and to support various customer engagements and relationships.
Certifications (Preferred but not required):
- Data Management or Business Intelligence certifications (e.g., CDMP, CBIP, Google Cloud Professional Data Engineer).
- Relevant certifications in analytics, cloud platforms, or project management.
Data Architect - (Data and AI Strategy Consultant) employer: Prodapt
Contact Detail:
Prodapt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - (Data and AI Strategy Consultant)
✨Tip Number 1
Network with professionals in the data architecture and AI fields. Attend industry conferences, webinars, and local meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data management and AI. Being well-versed in tools like Snowflake, AWS, and Tableau will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully implemented data strategies in previous roles. Highlight specific challenges you faced and how your solutions led to measurable improvements in data governance or analytics.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data concepts clearly and concisely. This is crucial for the role, as you'll need to convey your findings and recommendations to stakeholders at all levels.
We think you need these skills to ace Data Architect - (Data and AI Strategy Consultant)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data strategy, governance, and management. Emphasise your familiarity with technologies like Snowflake, AWS, and Tableau, as well as your ability to translate complex data concepts into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data and AI strategies. Discuss specific projects where you've successfully implemented data solutions and how they align with the responsibilities outlined in the job description.
Showcase Your Communication Skills: Since effective communication is crucial for this role, provide examples in your application of how you've successfully presented findings to stakeholders or led workshops. This will demonstrate your ability to engage with cross-functional teams.
Highlight Relevant Certifications: If you have any certifications related to data management, business intelligence, or cloud platforms, be sure to mention them. Even if they are preferred but not required, they can set you apart from other candidates.
How to prepare for a job interview at Prodapt
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data management technologies like Snowflake, AWS, and Tableau. Highlight specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on knowledge and ability to drive data strategies.
✨Understand the Business Context
Research the company’s business goals and challenges before the interview. Be ready to explain how your data strategies can align with their objectives, showcasing your ability to think strategically about data governance and management.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture and governance. Practice articulating your thought process and decision-making skills in these scenarios, as it will reflect your problem-solving abilities.
✨Demonstrate Strong Communication Skills
Since collaboration is key in this role, practice explaining complex data concepts in simple terms. Be ready to discuss how you would lead workshops or training sessions to promote data literacy within an organisation, as effective communication is crucial.
