- Company Name
- Mason Advisory Limited
- Job Title
- Senior Consultant - Data & AI
- Job Description
-
Job Title: Senior Consultant – Data & AI
Role Summary:
Lead and deliver consulting engagements focused on data strategy, architecture, governance, and insights. Provide expert advisory to senior stakeholders, translate technical concepts into business outcomes, and mentor junior team members.
Expectations:
- Deliver high‑impact data solutions that align with client business goals.
- Build and maintain strong client relationships and manage expectations.
- Demonstrate the ability to link data initiatives to measurable value.
- Contribute to business development through proposals and competitive positioning.
Key Responsibilities:
- Lead data strategy, architecture, governance, and analytics workstreams.
- Assess client data maturity, platforms, and information management practices.
- Develop data strategies and value cases aligned to business objectives.
- Define target data architectures (platforms, integrations, data flows).
- Design and implement data governance models, policies, and ownership structures.
- Support data quality, metadata, and master data management initiatives.
- Build dashboards, reporting suites, and visualisations for senior stakeholders.
- Translate complex technical concepts into clear, business‑relevant recommendations.
- Produce executive‑ready reports and presentations.
- Manage day‑to‑day client relationships and workstream delivery.
- Coach and support junior consultants.
- Contribute to proposals on data, analytics, or related technology roles.
Required Skills:
- Proven experience delivering data strategy, platform, or governance initiatives (consulting or practitioner).
- Strong understanding of enterprise data architecture, data management disciplines (quality, lineage, stewardship).
- Experience with data visualization tools (Power BI, Tableau, etc.) and SQL.
- Familiarity with cloud data platforms and digital/AI/analytics projects.
- Knowledge of geo‑data sovereignty, location strategy, and data privacy regulations (e.g., GDPR).
- Ability to link data initiatives to business value and measurable outcomes.
- Excellent communication, simplification of technical topics, and executive‑level reporting.
- Structured problem‑solving, analytical mindset, and hands‑on delivery focus.
Required Education & Certifications:
- Bachelor’s degree (or equivalent experience) in data, computing, engineering, or related discipline.
- Desired certifications: DAMA‑DMBOK, TOGAF, or cloud data platform certifications.