Consultant (CO) and Sr Consultant (SC), Data & AI Advisory
As a Consultant / Sr Consultant in Paradigm's Data & AI Advisory team, you will leverage your deep expertise in data and AI to design and implement strategic initiatives that drive sustainable business outcomes for our clients. This role combines advanced data strategy capabilities with a strong focus on AI governance, ensuring clients can responsibly harness the power of data and AI technologies.
Key Responsibilities:
Client Engagement
Lead and deliver data strategy and operating model projects, managing cross-functional teams
Develop comprehensive data strategies, including vision, objectives, and key results (OKRs)
Conduct data maturity assessments and capability evaluations
Formulate data policies, standards, and guidelines
Develop strategic roadmaps and business cases for data initiatives
Facilitate stakeholder interviews and workshops to identify pain points and align data capabilities (e.g., Data Governance, Data Quality, Metadata Management)
Evaluate and recommend improvements for existing data processes, tools, and governance frameworks
AI Governance
Develop and implement AI governance frameworks and strategies
Conduct AI risk assessments and ethical impact analysis
Design and oversee AI model validation and testing processes
Establish AI-specific policies, standards, and guidelines
Implement AI monitoring and auditing systems for continuous compliance
Advise on regulatory compliance related to AI technologies (e.g., EU AI Act)
Capability Development
Manage and enhance Paradigm's Data & AI Strategy & Advisory offerings
Cultivate internal and external partnerships with clients and vendors
Identify and pursue business development opportunities
Contribute to thought leadership initiatives by defining internal/external-facing content on data strategy, management, and AI governance
Develop methodologies, accelerators, and tools to enhance delivery capabilities in both data strategy and AI governance
Design and deliver training programs on data methodologies, including responsible AI practices
Qualifications
Required
Minimum 5 years of experience in Data Strategy, Management, Governance, or related fields
Profound understanding of Data Strategy, Data Management, Data Analytics principles, as well as AI governance best practices
Expertise in one or more common Data Management methodologies (e.g., DAMA DMBOK, DCAM) and familiarity with AI model lifecycle management frameworks
Proven track record in conducting maturity assessments for both data capabilities and AI readiness
Extensive experience in process documentation, target-state design, policy formulation, and roadmap development for both data management and AI governance
Experience leading delivery teams with a focus on fostering positive team environments under pressure or ambiguity
Strong project scoping, management skills, analytical problem-solving abilities, stakeholder management expertise, and communication skills (written/verbal)
Proficiency in Microsoft Office Suite (PowerPoint, Word, Excel)
Preferred
Minimum 5 years of consulting experience at a top-tier consultancy or equivalent internal role
Background in Financial Services, Consumer Products or Retail, with knowledge of industry challenges
Hands-on experience with data management tools (e.g., Informatica, Collibra) as well as analytics platforms (e.g., Power BI, Tableau)
Familiarity with AI governance tools/platforms (e.g., Holistic AI)
Certification(s) in data management methodologies or capability models; certifications in AI ethics/governance are a plus
Key Skills:
Data Strategy & Management
Maturity assessment execution
Target Operating Model design
Policy creation for data management
AI Governance
Ethical framework development
Risk assessment for AI systems
Core Consultant Attributes
Exceptional communication skills: Clear articulation, tailored messaging, insightful questioning, and persuasive presentation
High emotional intelligence: Self-awareness, empathy, strong social skills, and adaptability
Deep business acumen: Understanding of industry trends, organizational structures, financial principles, and strategic planning
Technical Knowledge Areas
Data Governance and Management: Informatica and Collibra
AI/ML/Analytics Platforms: Snowflake and Databricks
Hyperscalers: Azure, AWS, GCP
Consulting Approach
Quickly grasp client's business context and challenges
Translating technical concepts into business value
Develop and present strategic recommendations
Facilitate decision-making and drive consensus
Manage projects and deliver measurable results
This role offers an exciting opportunity to lead transformative initiatives at the intersection of advanced data strategies and responsible AI adoption. Join Paradigm to shape the future of how businesses leverage these powerful technologies.