Senior Data Management Consultant

Metrica Recruitment; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global technology consultancy is seeking a Senior Data Management Consultant to guide organizations in data-driven excellence. This role involves developing data management strategies, ensuring data quality and governance, and implementing innovative solutions using advanced technologies. Ideal candidates will have experience in data governance and proficiency in tools like Informatica and Collibra. Opportunities for continuous development and a collaborative culture are part of the offer.

Benefits

Flexible work environment

Continuous learning opportunities

Competitive benefits

Qualifications

• Proven expertise in data quality, governance, security, and metadata management.
• Strong technical skills in data management tools.
• Ability to design and implement complex data models.

Responsibilities

• Develop and implement comprehensive data governance frameworks.
• Design and optimise data architectures.
• Conduct data maturity assessments and develop recommendations.
• Implement innovative data management solutions.
• Foster partnerships with clients to align data strategies.

Skills

Data quality

Data governance

Data security

Metadata management

Data analysis

Effective communication

Tools

Informatica

Collibra

Talend

Erwin

Job description

Join a Global Technology Consultancy and Shape the Future of Data

Are you a seasoned data management professional looking to make a significant impact?

About the Role

As a Senior Data Management Consultant at this global consultancy, you’ll play a pivotal role in guiding organisations towards data‑driven excellence. You’ll work closely with clients to develop and implement robust data management strategies, ensuring data quality, security, and governance. Your expertise will be instrumental in helping clients unlock the full potential of their data assets.

Why Choose Them

• Global Leadership: Be part of a successful global technology consultancy shaping the future of data.
• Challenging Projects: Work on diverse and impactful projects that drive real‑world business outcomes.
• Collaborative Culture: Collaborate with talented professionals from diverse backgrounds in a supportive and inclusive environment.
• Work‑Life Balance: Enjoy a flexible work environment and competitive benefits that support your professional and personal goals.
• Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends.

Key Responsibilities

• Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and regulatory requirements. Ensure adherence to ethical concepts and best practices in data management.
• Data Modelling and Architecture: Design and optimise data architectures to support complex data‑driven initiatives. Create robust data models that capture the nuances of business processes and information needs.
• Data Maturity Assessments: Conduct in‑depth assessments of clients’ data capabilities and identify areas for improvement. Develop tailored recommendations to enhance data quality, governance, and utilisation.
• Cutting‑Edge Solutions: Implement innovative data management solutions leveraging advanced technologies such as AI, machine learning, and automation. Stay abreast of emerging trends and industry best practices to drive competitive advantage.
• Client Collaboration: Foster strong partnerships with clients to understand their unique challenges and opportunities. Collaborate closely with stakeholders to align data strategies with business goals and deliver measurable value.

What We’re Looking For

• Deep Understanding of Data Management: Proven expertise in data quality, governance, security, and metadata management.
• Proficiency in Data Management Tools: Strong technical skills in tools like Informatica, Collibra, Talend, and Erwin.
• Data Modelling and Architecture: Ability to design and implement complex data models and architectures.
• Analytical and Problem‑Solving Skills: Proficiency in data analysis, problem‑solving, and decision‑making.
• Effective Communication and Interpersonal Skills: Ability to convey technical concepts, build relationships, and manage stakeholders.
• Innovation and Results‑Orientation: Passion for innovation, results‑driven mindset, and commitment to continuous learning.