Data Architect

Technology Exposure: Understanding of Data Journey from Creation to Consumption (Data Warehouse, Big Data Ecosystems, Cloud Data Lake, Business Intelligence, Analytics, AI)

Experience : 10-15 Years

Job Description :

Role & Responsibilities :

1. Identify, Build & Manage a Portfolio of Use Cases/Solutions :

- Identify Business Use Cases and develop Value Propositions for the Global Market from a Data & Analytics perspective

- Develop & promote joint solutions & offerings with alliance partners

- Verticalize the horizontal Data & Analytics solutions to make them relevant to our customers in the Telecom domain

- Drive platform development from a domain perspective including use cases, data models and KPIs

- Pitch the solutions & use cases to customers & prospects

2. Proactive/Reactive Pursuit Support :

- Provide domain expertise required to enhance our story telling as a part of reactive or proactive pursuits.

3. Consulting :

- Participate in key client conversations during consulting engagements as a domain SME

- Provide guidance on consulting engagements that require domain knowledge

4. Go to Market :

- Enhance outreach across all global markets working with regional sales teams within co.

- Develop & execute the marketing plan in collaboration with the Marketing team

- Author White Papers, Blogs and Thought Leadership articles

- Participate in Analysts / Advisor briefings

5. Data Analytics Consulting :

- Market Research : Study market trends and best practices along with competitive analysis, and recommend best in class platforms, technology, algorithm, business models.

- Solution Design: Manage repository of present and upcoming support Cloud transformation, Analytics, BI, AI/ML ingestion development, and deployment.

- Solution Marketing: Identify and target business users across various internal channels (roadshows, emails, internal websites) for educating them about the products and service capabilities in the space of data science.

- Acquisition and Retention: Identify, acquire, and retain business users, while maintaining superior user experience.

- Synthesize feedback from user interactions and contribute to product roadmap and features, closely working with product managers and owners.

- Product KPI Definition & Tracking: Monitors product marketing and impact related performance and usage KPIs, and identifies opportunities for improving the user experience.

- Work closely with business partners, data stewards, ML engineering and other IT teams to create, manage and enhance AI/ML products.

Required Qualifications :

- MBA from renowned business schools or Masters degree in business disciplines on top of Bachelors in quantitative fields

- Minimum 5 years of strategy consulting, pre-sales, customer success, or similar experience - comfortable presenting to senior leaders and clients.

- Minimum 5 years' experience working in the space of data Management, Data engineering, Data Visualization or analytics.

- Ability to create compelling presentations and other content suited to business audience, while simplifying and extracting important details from technical stakeholders.

- Experienced in benefit quantification for communicating various types of benefits to a variety of audience.

- Knowledge about AI, Machine Learning, Natural Language Processing, Natural Language Generation, Big Data, Chatbots, Recommendation engines, ML Ops, Data Science modeling platforms.

- Knowledge of various tools and platforms that are used by data scientists, engineers, business analysts, visualizers like (but not limited to) SQL, Jupyter, Pyspark, Power BI, Tableau, and emerging cloud native tools and platforms.

- Persuasive written and verbal communication skills, proven ability to create client ready marketing material and documentation.

- Self-driven and able to proactively identify gaps and opportunities - build business case and drive change.

Desired Qualifications :

- Experience in working in BFSI sector, preferably for the US markets

- Knowledge of cloud platforms like GCP, AWS, Azure - especially in the analytics, AI/ML and data storage and processing related areas.

- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment.

- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.

- Ability to interact with integrity and a high level of professionalism with all levels of team members and management.

- Ability to make timely and independent judgment decisions while working in a fast-paced and results driven environment.

- Demonstrate strong negotiation, communication & presentation skills