Senior Data Strategy Lead

6 days ago


Chicago, Illinois, United States Genpact Full time
About the Role

We are seeking a highly skilled Senior Data Strategy Lead to join our Google Cloud Advisory practice at Genpact. As a key member of our team, you will be responsible for building and deepening our Advisory offering on Data and Analytics Strategy.

Key Responsibilities
  • Lead from the front in driving Google Cloud Data, analytics, and AI pursuits
  • Work with C-level executives of Fortune 1000 organizations to educate and strategize on the reframing of the data paradigm
  • Identify gaps in the market and spot opportunities to create value propositions
  • Support business development efforts by participating in proposal development, sales pursuits, and client presentations
  • Expand the footprint of data and analytics in Genpact's client context
  • Drive consulting and transformational engagements using data as the pivot, leading to augmented intelligence (AI and ML) and advanced analytics
  • Coordinate and interact with Genpact's domain service lines, functional and digital product offerings to deliver differentiated business impact
  • Define value propositions and positioning strategies for AI products and services to differentiate them in the market
  • Drive lead generation activities through targeted marketing campaigns, partnerships, and networking efforts
  • Engage with customers to understand their needs, gather feedback, and ensure customer success with AI solutions
  • Identify and cultivate strategic partnerships with technology providers, resellers, and industry influencers to expand market reach and drive revenue growth
Requirements
  • Relevant years of experience focused on data warehousing and business intelligence
  • Proven experience working with CIO/Chief Data/Analytics officers to shape data strategy, implementation, and build of data platforms on newer tech stack on the cloud
  • Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:
    • Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - GCP, AWS, Snowflake, Azure
    • Leading multiple engagements to design and develop data solutions using data modeling techniques (such as file-based, normalized or denormalized, star schemas, schema on read, Vault data model, graphs) for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi-structured, unstructured)
    • Implementing cloud data solutions in the context of business applications, cost optimization, client's strategic needs, and future growth goals as it relates to becoming a 'data-driven' organization
    • Hands-on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau
  • Possessing a certification(s) in one of the following is a big plus - GCP/AWS/Azure/data or ML engineering
Preferred Qualifications
  • Understanding and familiarity with one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.), Python/Py Spark/JavaScript
  • Understanding or knowledge in SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark


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