Job Description

• Conduct comprehensive current state analysis of existing data systems, processes, and frameworks of an organization.
• Provide strategic recommendations and design target state for optimizing data-related processes, structures, and systems.
• Participate in Data Maturity assessments. Drive CXO conversations effectively.
• Lead and facilitate engagements in data governance, establishing policies, procedures, and frameworks to ensure metadata, master data, data quality, security, and compliance.
• Develop and define future state data architectures aligned with industry best practices and organizational needs.
• Collaborate closely with cross-functional teams and stakeholders to ensure seamless integration of data strategies with business objectives.
• Utilize expertise in cloud technologies e.g., GCP, Azure, and AWS, to guide and implement data strategies in cloud-based environments.
• Help in providing tools/technology advisory to customers by creating market scan reports, technology comparison frameworks and selection, creating technology architecture.
• Drive RFI/RFP and presales engagements. Lead and contribute to offerings development, provide thought leadership.
• Leverage industry knowledge to drive business discussions, identify industry wise data strategy challenges and provide industry specific best practices. Following industry experience is preferred \xe2\x80\x93 Retail/CPG and Automobile/ Healthcare/Pharma
• Ability to understand data and derive key performance indicators (KPI\xe2\x80\x99s)
• Good SQL experience for data analysis and reporting
• Exposure to business intelligence tools such as Tableau, Qlik Sense and Power BI
• Good understanding of data science and machine learning/AI concepts

Primary Skills

• Bachelor\xe2\x80\x99s degree in computer science, Information Technology, or any related field. MBA from a tier 1 and tier 2 college preferred.
• Proven experience in advisory and consultancy roles focused on data strategy and architecture. At least 1 end to end consulting engagement experience.
• Proficiency in cloud technologies, particularly GCP, Azure, and AWS, with relevant certifications preferred.
• Experience in leading and managing data governance, data modeling, and operating model initiatives.
• Strong knowledge of DAMA and TOGAF frameworks and principles. Certifications preferred.

Secondary Skills

• Excellent communication and interpersonal skills, with the ability to articulate complex ideas and strategies effectively.
• Exceptional analytical and problem-solving abilities.
• Should be aware of latest tech trends in data and applications of advanced AI technologies across Industry sectors.
• Should be a good storyteller, presenter and capable of steering leadership communication.
• A self-motivated individual with a strong sense of ownership and drive to deliver high-quality results.