Solution Architect - Data & AI
Actively Reviewing the ApplicationsHCLTech
India, Karnataka, Bengaluru
Full-Time
On-site
Posted 3 hours ago
•
Apply by June 10, 2026
Job Description
Location: Noida/Chennai/Bangalore
We are seeking an accomplished professional to assume the role of Solutioning Lead - Data & AI. This individual will spearhead growth and maturity of our Data, Analytics and AI practice, focusing on recommending and crafting innovative Data & AI solution responses to customer opportunities (RFP Responses / Proactive Response / Customer Workshops).
Key Responsibilities
- Lead and expand the Data, Analytics, and AI Solutioning practice, with accountability for converting customer opportunities to wins – through innovative solution responses and demonstration
- Lead presales activities for Data & AI opportunities - including the preparation of proposal responses, solution presentation & demonstrations, and propose suitable operating models etc.
- Stay abreast of emerging trends and innovations in the Data, Analytics, and AI landscape, integrating cutting-edge practices into client solutions.
- Develop playbooks, frameworks, and repeatable solutions to drive Data, Analytics & AI solution excellence and alignment to industry best practices
- Ability to lead / promote Data & AI offerings in customer presentations, client visit presentations etc and work with pre-sales/marketing team for development of collateral, and active thought leadership.
- Foster a culture of continuous innovation by developing forward-thinking solutions and frameworks aligned with market demands.
- Attract, develop, and retain top talent within the data and analytics domain, nurturing a high-performance, innovative solutioning team
- Principal KPIs for the Role
- - Strategic deal win rate (%)
- - Revenue influenced ($)
- - Margin uplift in strategic deals (%)
- - Number of practice-building initiatives contributed
Skill Requirements
- Strong Data & AI Solutioning expertise, act as Lead Solution Architect —including proposal response development, solution demonstrations, workshops, and proof of concepts—to effectively communicate technical value propositions to diverse stakeholders.
- Varied Expertise in Data & AI technologies, including advanced analytics, cloud data platforms (Azure, AWS, Google Cloud), AI & Machine learning, big data ecosystems, and data engineering frameworks.
- Proven ability to architect and implement scalable, end-to-end data solutions—covering data integration, warehousing (modern and real-time), Data Engineering, quality, security, and governance—across complex enterprise environments
- Hands-on experience with leading BI and analytics tools (Power BI, Tableau, Qlik, Looker), programming languages (Python, R, SQL), and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strategic thinker with strong business acumen, skilled at translating business requirements to key tenets of solution response, Propose AI led business value focused solutions, crafting tailored data-driven strategies that drive measurable outcome for customers
- Expertise in developing standardized playbooks, frameworks, and reusable solution repositories to elevate service delivery and ensure consistency and excellence.
- Demonstrated leadership in building, mentoring, and retaining high-performing teams, fostering a culture of innovation, continuous improvement, and knowledge sharing within the Data & AI domain.
- Continuously staying abreast of evolving trends and emerging technologies in Data, Analytics, and AI to deliver cutting-edge solutions as a Lead Solution Architect.
Other Requirements
- Education: Bachelor’s or Master’s degree in Computer Science, or related field.
- Experience: Minimum 12+ years of professional experience, with proven Data & AI expertise in proposing architecture and solutions
- Prior Customer Facing Experiences will be a plus
Required Skills
Machine Learning
Sales
Engineering
Leadership
Python
SQL
AWS
Data Integration
Power BI
Tableau
Looker
TensorFlow
PyTorch
Scikit-learn
Azure
KPIs
Warehousing
Data Engineering
Mentoring
Knowledge Sharing
Continuous Improvement
Analytics
Governance
Business acumen
Data and Analytics
Service Delivery
Big Data
Data platforms
Deals
Presentation
Collateral
Advanced Analytics
Analytics tools
Cloud Data Platforms
ML Frameworks
Cloud Data
Playbooks
Strategic Thinker
AI/ML
Computer Science
RFP
SciKit
Deal
Solution Demonstrations
Emerging technologies
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