Cognizant is seeking an experienced Sr. Data Architect, specializing in analytics and data solutions. This role requires a technical expert turned solution expert, responsible for overseeing technical aspect of solution architecture, and proposal development.
The ideal candidate will have deep expertise in technical solutioning, architecture, and analytics implementations and will act as a Subject Matter Expert (SME) in solution design. Knowledge and experience in public sector is required.
Key Responsibilities:
Solution Design & Technical Expertise
* Act as a SME in analytics, AI, and data solutions.
* Define end-to-end solution architectures, covering cloud, AI-driven solutions, data mining, and business intelligence.
* Collaborate with delivery teams to shape solutions that are scalable, secure, and compliant with government frameworks (e.g., G-Cloud, Digital Marketplace, ITIL, TOGAF).
Capability Support
* Create compelling point of views, capability decks, and thought leadership materials.
* Participating in discovery workshops and solution presentations.
Stakeholder & Partnership Management
* Collaborate with internal teams (delivery, legal, finance, bid management) to ensure seamless proposal execution.
* Work with Cognizant’s strategic partners (AWS, Microsoft, Google Cloud, Celonis, etc.) to enhance solution offerings.
Required Experience & Skills
Technical & Solutioning Experience
* Good hands-on experience in technical development, architecture, and solution design in public sector projects.
* Expertise in analytics (BI, data engineering, predictive modelling).
* Experience with security, compliance, and data governance standards
* Ability to create compelling value propositions, executive summaries, and pricing models.
Soft Skills & Leadership
* Strong communication, storytelling, and presentation skills.
* Ability to simplify complex technical concepts for non-technical stakeholders.
* Strategic thinker with an innovation-driven mindset.
* Excellent collaboration skills, with experience working across multi-disciplinary teams.
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