- Candidates should typically have at least 5-8 years of experience in developing Data & AI
strategy. This experience should include hands-on involvement in developing and implementing
Data AI strategies for clients across various industries.
Candidates should have experience in participating in visioning workshop with client &develop
innovative Data &AI strategy & architecture frameworks tailored to the unique goals and
aspirations of our clients, ensuring alignment with their evolving needs and preferences.
Conducted comprehensive current state assesement of clients- existing Data Architecture, Data
Operating Model, Data Governance framework and Data Value realization (BI Reporting, Data
sharing, Monetization, Advanced analytics) & identify key gaps and develop maturity assesement
report for uncovering opportunities for improvements across data ecosystem.
Developed target state for Data Architecture, Data Operating Model, Data Governance framework
and Data Value realization (BI Reporting, Data sharing, Monetization, Advanced analytics)
consuming the key gaps identified best practices, design principles & architecture principles.
Developed future roadmap with key initiatives as per the client prioritization and needs.
Proposed best suited architecture (Data Lake, Datawarehouse, Data lake house, Data Mesh,
Data Fabric) as per assesement done and gaps identified.
Good to have knowledge on data modelling (Conceptual, Logical & Physical) as per the business
requirements.
Knowledge of Cloud and native services (AWS or Azure or GCP) related to scaled AI and data
analytics solutions.
Should have done technology overlay on logical data and architecture with cloud native services
and developed optimized technical architecture as per business needs.
Good to have knowledge & understanding of various large language models to propose best
suited LLMs to our customer based on data & AI strategies that resonate with Gen AI
Excellent communication, presentation & story boarding skills are crucial for effectively
articulating complex technical concepts to non-technical stakeholders. Candidates should be able
to convey Data & AI strategy recommendations in a clear, concise, and compelling manner.
The ability to collaborate effectively with cross-functional teams is essential for this role.
Candidates should be comfortable working with diverse teams to design and execute data & AI
strategy that address clients business challenges and deliver measurable results.
Should have done Data or AI projects technical implementation in the past
Desired experience.
- Minimum 5-8 years of experience working with clients on Data AI strategy in the products
industry (Lifesciences, CPG, Industry & Retail). Candidates who have a deep understanding of
Maturity assesement with respect to data ecosystem, Data Architecture, Data Governance
framework, Data Modeling, Data Operating Model and Data Roadmap
- Minimum 5-8 years strong consulting background with a demonstrated ability to lead client
engagements from start to completion. Consulting experience should encompass stakeholder
management and effective communication to ensure successful project delivery.
- Minimum 2-3 project experiences with respect Data AI Strategy in last 1-2 years
- Knowledge understanding AI ; Gen AI that can provide valuable insights and strategic
guidance to clients.
- Minimum 4 years strong working experience Data & AI projects technical implementation in the
past
- Minimum 2 years experience in proposing target state data architecture on Cloud utilizing native
services.
- Minimum 2-3 years experience on Data or AI projects technical implementation in the past
- Must Have experience Data maturity assessment, logical& technical architecture, Data Modelling
- Must have knowledge on Data governance frameworks & various data archetypes (data lake,
Datawarehouse, data mesh, Data Lakehouse
- Must have knowledge on Cloud and native services -AWS/Azure/ GCP
- Good to have hands on experience in past on Programming languages such as Python, R, SQL
or Pyspark
- Good to have knowledge and understanding of GEN AI models (Open AIGPT, Llama Index,
Mistral etc.)
- Good to Have knowledge of UI/UX design & Visualization tools-Power BI/Tableau/Qlik Sense
