Anblicks is seeking an experienced Business Solutions Architect to lead an intensive Data & AI discovery and assessment engagement. This individual will serve as the bridge between business stakeholders, domain SMEs, data/AI architects, and engineering teams, converting evolving business priorities into well-defined use cases, solution options, prototypes, and an actionable implementation roadmap.
The role will operate in an environment where requirements are still evolving, so the ideal candidate must be comfortable leading structured discovery rather than waiting for fully defined requirements. This aligns directly with the discussion that the engagement is still in the discovery stage and needs someone who can establish clarity before scaling the engineering POD.
Key Responsibilities:
1. Lead Business & Technology Discovery
2. Define and Prioritize Use Cases
3. Data & Technology Assessment
4. Drive Rapid Prototyping
5. Develop Roadmap & Recommendations
The role should own or coordinate production of:
- Current-State Discovery & Assessment
- Business Pain Point and Opportunity Assessment
- Use Case Inventory & Prioritization
- Data Source / System / Integration Assessment
- Data & AI Platform Gap Assessment
- Target-State Conceptual Architecture
- Build / Buy / Extend Recommendations
- Rapid Prototype / PoC Definition and Validation
- Prioritized Data & AI Roadmap
- MVP Scope and Implementation Recommendations
- Executive Discovery Readout and Recommendations
Required Skills & Experience:
- 10+ years of experience across Data & Analytics, digital transformation, enterprise applications, solution consulting, business architecture, or related technology programs.
- 7+ years leading complex discovery, assessment, solution definition, or transformation initiatives.
- Strong combination of business analysis + solution architecture + consulting capabilities.
- Proven ability to conduct executive, business SME, and engineering-level discovery workshops.
- Strong understanding of:
- Enterprise Data & Analytics architecture
- Data platforms and data integration
- Snowflake or comparable cloud data platforms
- APIs and enterprise application integration
- Data modeling, semantic/context layers and master data
- BI and advanced analytics
- GenAI / Agentic AI concepts and use cases
- Rapid prototyping and MVP definition
- Experience assessing heterogeneous environments containing enterprise platforms, SaaS applications, spreadsheets, SharePoint, and manually managed business processes.
- Ability to translate business problems into technical architecture and executable engineering backlog.
- Strong executive communication, presentation, workshop facilitation, and stakeholder-management skills.
Preferred Experience:
- Experience in critical infrastructure, facilities, asset management, field services, construction, or engineering operations.
- Exposure to platforms such as Salesforce, Primavera P6, Procore, Snowflake, SharePoint, or comparable operational/data platforms.
- Experience with commercial intelligence, workforce intelligence, field-service workflows, asset reliability, or QA/QC use cases.
- Experience working with distributed onsite/offshore Data & AI engineering PODs.
