Chief Data Architect

2 days ago

Gurgaon, Haryana, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

As a seasoned data professional, you will lead the adoption of cutting-edge technologies in our solutions. You will bring thought leadership to guide clients on complex data management problems and drive business performance.

You will work closely with our leadership team to bring subject matter expertise in areas such as big data, ETL, reporting, CRM, data warehousing, MDM, DevOps, software development, etc.

We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm.

Key Responsibilities
  • Lead Project Delivery: Ensure successful delivery of client projects while identifying and building new business opportunities.
  • Team Development: Recruit and cultivate a high-performing team to deliver scale-quality work.
  • POC and Architecture Development: Design and implement proofs of concept (POCs) and solution architectures to address diverse data management and governance needs for pharmaceutical clients.
  • Business Development Collaboration: Partner with the leadership team to identify and nurture strategic business development opportunities.
  • Thought Leadership: Write and publish insightful articles to establish thought leadership in the industry.
  • Conference Engagement: Identify and secure opportunities to present at technology conferences to showcase our expertise.
  • Strategic Partnerships: Build and maintain partnerships with leading technology and enterprise software providers.
Requirements
  • 10-15 years of experience in pharma technology consulting.
  • Advanced degree (MBA preferred or a master's degree) in engineering, with a strong academic track record.
  • Hands-on experience in data mastering, big data, ETL, reporting, data warehousing, BI dashboards, designing data architecture patterns and ecosystems, including data stores and ingress/egress patterns.
  • Ability to manage multiple concurrent projects for various stakeholders with a quality-focused approach.
  • Experience in developing new work streams, leading client engagements, and business development in the technology space.
  • Proven capability to identify and recommend appropriate solutions to client needs creatively and analytically.
  • Experience in data modeling, development, and testing for enterprise-wide data solutions.
  • Strong written and verbal communication skills.

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