Rakesh Dikshit

CEO

Bengaluru, Karnataka, India20 yrs 10 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • 20+ years of global leadership experience
  • Expert in building high-performing data teams
  • Proven track record in driving digital transformation
Stackforce AI infers this person is a Data and Technology leader with expertise in Retail and Enterprise solutions.

Contact

Skills

Core Skills

Data AnalyticsLeadershipData EngineeringSoftware EngineeringTeam ManagementBusiness IntelligenceEnterprise Architecture

Other Skills

AI/ML SolutionsAgile MethodologiesAgile Project ManagementAirflowAmazon Web Services (AWS)Apache KafkaApache SparkBig Data AnalyticsBusiness AnalysisCloud (GCP, Azure, AWS)CommunicationCost OptimizationCross-functional LeadershipData AnalysisData Architecture

About

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)

Experience

20 yrs 10 mos
Total Experience
8 yrs 2 mos
Average Tenure
4 yrs 6 mos
Current Experience

Nike

Director - Data, Analytics & Intelligence, Asia Pacific & Latin America

Dec 2021Present · 4 yrs 6 mos · Greater Bengaluru Area

  • Lead the delivery of scalable, enterprise-grade data and analytics solutions that empower Nike’s Asia Pacific & Latin America businesses, driving actionable insights and measurable business value.
  • Provide technical and strategic leadership across the full product lifecycle, guiding teams from concept through to operationalization of robust, high-impact data products and platforms.
  • Collaborate cross-functionally with product, engineering, platform, and architecture teams to define requirements, shape product and architectural vision, and ensure alignment with business priorities and digital transformation goals.
  • Champion innovation by evaluating emerging technologies, software vendors, APIs, and algorithms to enable advanced analytics and machine learning at scale, ensuring Nike remains at the forefront of data-driven retail.
  • Drive a culture of engineering and product excellence by mentoring teams, establishing best practices, and optimizing delivery processes across DataOps and DevOps.
Data AnalyticsData EngineeringCloud (GCP, Azure, AWS)AI/ML SolutionsCross-functional LeadershipLeadership

Lowe's india

2 roles

Director - Data Engineering, Data Product, Data Platform, Data Integration

Promoted

Mar 2018Dec 2021 · 3 yrs 9 mos

  • Provided strategic leadership to Data Engineering, Data Product, Data Platform, and Data Integration teams, designing, building, and maintaining enterprise solutions across multiple technology products.
  • Matured data engineering capabilities by expanding “Data as a Service” and “Model as a Service” models, driving innovation and scalability within the organization.
  • Drove platform strategy and roadmap, fostering strong partnerships with key vendors and business stakeholders to align technology initiatives with business goals.
  • Set direction and vision to reduce reliance on vendor products and support, building deep in-house expertise on proven open-source technologies.
  • Offered insight and guidance, proactively resolving cross-functional issues across application and infrastructure development, testing, implementation, and support lifecycles.
  • Hired, coached, and developed high-performing teams, creating growth opportunities and maintaining a collaborative, engaged, and effective work environment.
  • Managed departmental budget and forecasting, ensuring technical solutions were delivered and maintained in a cost-effective and sustainable manner.
Data EngineeringData IntegrationData PlatformVendor StrategyCost OptimizationLeadership

Senior Manager - Software Engineering

Dec 2014Feb 2018 · 3 yrs 2 mos

  • Conceptualized, strategized, built, and led a 150-member Global Data & Middleware team, responsible for all data, service, and platform integrations across the entire IT organization.
  • Established and scaled technology-focused teams for Build, Run, and Platform operations across a range of integration technologies-including Data (Hadoop, Spark), ESB (Camel, Talend), and Messaging & Streaming (Kafka, MQ).
  • Built and managed high-performing Application Run & Platform Site Reliability Operations teams, delivering seamless 24x7 support for critical business systems.
  • Ensured alignment and buy-in from diverse project stakeholders by building and maintaining strong, trust-based relationships with internal customers.
  • Pioneered a global operating model and developed robust in-house capabilities, setting a strong foundation for organizational transformation and operational excellence.
  • Fostered a culture of continuous learning and maintained a skilled, engaged workforce by aligning individual development plans with business objectives.
Software EngineeringData IntegrationSite Reliability OperationsTeam Management

Capgemini

Engineering Manager & Enterprise Architect - BI & Analytics

Jul 2005Dec 2014 · 9 yrs 5 mos · Milwaukee, Wisconsin

  • Served as a consultant for GE Healthcare, spending 7 years in the USA and leading diverse technology, architecture, and managerial initiatives.
  • Managed global Agile teams across build, design, release, testing, and architecture functions for multiple business verticals.
  • Designed and delivered critical applications, processes, and accelerators, spearheading the introduction of new tools and technologies to drive business value.
  • Executed key architectural initiatives as part of the Enterprise Architecture team, shaping technology strategy and standards.
  • Influenced and established best-in-class engineering practices through robust design decisions and the adoption of advanced tools.
  • Enforced adherence to data governance, security, quality, and usage standards, ensuring compliance and operational excellence across projects.
Business IntelligenceAgile MethodologiesEnterprise ArchitectureData Governance

Education

Indian School of Business

Leadership with AI — Executive Education

May 2024Oct 2024

Birla Institute of Technology and Science, Pilani

Master of Technology - M.Tech — Data Science & Engineering

Mar 2020Mar 2022

West Bengal University of Technology, Kolkata

Bachelor of Technology — Electronics & Communication Engineering

Stackforce found 100+ more professionals with Data Analytics & Leadership

Explore similar profiles based on matching skills and experience