Rakesh Dikshit — CEO
With 20+ years of global experience, I am a results-driven leader at the intersection of Data, Technology, and Engineering-renowned for building and scaling high-performing teams across Asia Pacific, Latin America, the US, and Europe. As Director of Data, Analytics & AI at Nike and previously at Lowe’s, I have not only conceptualized, strategized, and delivered enterprise-scale data and analytics solutions, but have also built high-performing, self-autonomous teams that drive innovation and operational excellence. My leadership extends beyond data: I have successfully taken on stretch assignments in software engineering, infrastructure, and site reliability, enabling organizations to thrive in complex, fast-paced environments. My leadership style is situational and adaptive-I believe in starting with hands-on, in-depth engagement to understand challenges and build trust, then gradually zooming out to empower and scale teams and individuals. This creative approach enables me to foster self-sustaining, autonomous teams that consistently deliver outstanding results. I am passionate about blending the right technology with empowered people, fostering a culture of continuous learning, creativity, and operational excellence. My approach is rooted in hands-on technical depth, strategic vision, and a relentless focus on business impact. Key Strengths: • Building and leading global teams (180+ members) and capability centers from the ground up • End-to-end delivery of scalable data platforms, products, and AI/ML solutions • Cross-functional leadership spanning Data Engineering, Software Development, Infrastructure, and SRE • Driving digital transformation, vendor strategy, and cost optimization • Deep expertise in cloud (GCP, Azure, AWS), big data, DevSecOps, and agile methodologies Certifications: Leadership with AI (ISB) | Digital Transformation Leader | Google Cloud Data & AI Engineer | Certified Scrum Product Owner | Site Reliability Engineering | Certified DevSecOps Engineer Industry Impact: Retail | Manufacturing | Healthcare | Finance | Services Technical Skills: Databricks, Snowflake, Cloud (GCP, Azure, AWS), ETL (Spark, Informatica, Talend), Python, Big Data, SQL, Shell Scripting, RDBMS (Postgres, Teradata, Oracle, DB2, SQL Server, MySQL), NoSQL (MongoDB, Cassandra, Couchbase, HBase), Data Streaming (Kafka, IBM MQ), DevSecOps (Jenkins, GitHub, Ansible, Puppet), Agile, SRE, Monitoring (ELK, Splunk, Nagios)
Stackforce AI infers this person is a Data and Technology leader with expertise in Retail and Enterprise solutions.
Location: Bengaluru, Karnataka, India
Experience: 20 yrs 10 mos
Skills
- Data Analytics
- Leadership
- Data Engineering
- Software Engineering
- Team Management
- Business Intelligence
- Enterprise Architecture
Career Highlights
- 20+ years of global leadership experience
- Expert in building high-performing data teams
- Proven track record in driving digital transformation
Work Experience
Nike
Director - Data, Analytics & Intelligence, Asia Pacific & Latin America (4 yrs 6 mos)
Lowe's India
Director - Data Engineering, Data Product, Data Platform, Data Integration (3 yrs 9 mos)
Senior Manager - Software Engineering (3 yrs 2 mos)
Capgemini
Engineering Manager & Enterprise Architect - BI & Analytics (9 yrs 5 mos)
Education
Leadership with AI at Indian School of Business
Master of Technology - M.Tech at Birla Institute of Technology and Science, Pilani
Bachelor of Technology at West Bengal University of Technology, Kolkata