Chief Technology Officer
Location
Hyderabad, Pune, Bangalore
Experience
15–20 years
Required Skills
About the Role
Chief Technology Officer (15-20 yrs)
Technology Leadership:
- Act as a strategic partner to the CEO and leadership team
- Stay ahead of trends in data analytics, AI/ML, and cloud technologiesData & Analytics Strategy:
- Oversee data engineering, data warehousing, and BI systems
- Drive adoption of data-driven decision-making across the organization- Ensure data quality, governance, and security
Team Building & Management:- Hire, mentor, and lead high-performing engineering and data teams
- Foster a culture of innovation, accountability, and continuous learning- Establish best practices in software development and analytics
Architecture & Development:- Design scalable and secure data platforms and pipelines
- Oversee development of analytics tools, dashboards, and reporting systems- Ensure high system availability, performance, and reliability
Stakeholder Collaboration:- Work closely with product, business, and operations teams
- Translate business needs into technical solutions- Communicate complex technical concepts to non-technical stakeholders
Required Qualifications:- Bachelors or Masters degree in Computer Science, Data Science, or related field (MBA is a plus)
- 10+ years of experience in technology leadership roles- Strong background in data analytics, big data, and cloud platforms (AWS, GCP, or Azure)
- Proven experience building and scaling data platforms and engineering teams- Expertise in data architecture, ETL pipelines, and BI tools
- Experience with AI/ML frameworks and data-driven product developmentPreferred Skills:
- Experience in startup or high-growth environments
- Knowledge of modern data stack (Snowflake, BigQuery, Databricks, etc.)- Strong understanding of data governance and compliance
- Excellent leadership, communication, and strategic thinking skillsRole: Data Science & Analytics - Other
Industry Type: IT Services & ConsultingDepartment: Data Science & Analytics
Employment Type: Full Time, PermanentRole Category: Data Science & Analytics - Other
Ideal Candidate
Someone who has progressed from IC architect/senior engineer → VP Engineering or Head of Data in a B2B consulting, SaaS, or fast-scaling tech firm; demonstrated ability to ship data infrastructure (warehouses, pipelines, BI) while simultaneously building 20-50 person engineering teams; comfortable translating between technical depth and C-suite strategy conversations with product/business leads.
Estimated Salary Range(medium confidence)
₹30 L – ₹55 L per year
Likely Interview Questions
- 1.Walk us through a data platform you architected end-to-end—what was the scale (data volume, users), governance model, and how did you measure ROI to the business?
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