Data Strategy Leader

4 weeks ago


Gurgaon, Haryana, India PROCDNA ANALYTICS PRIVATE LIMITED Full time

We are seeking an experienced Data Strategy Leader to drive the adoption of cutting-edge technologies in our solutions for pharmaceutical clients. This individual will bring thought leadership to guide clients on complex data management problems and drive business performance.

The successful candidate will work closely with our leadership team to provide subject matter expertise in areas such as big data, ETL, reporting, CRM, data warehousing, MDM, DevOps, software development, etc. Estimated salary range: $180,000 - $220,000 per annum.

Key Responsibilities:
  • Lead Project Delivery: Ensure the 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.
  • 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 expertise.
Requirements:
  • 10-15 years of experience in pharma technology consulting.
  • Hands-on experience in data mastering, big data, ETL, reporting, data warehousing, BI dashboards, and designing data architecture patterns and ecosystems.
  • 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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