Divyanshu Narendra

Director of Engineering

Portland, Oregon, United States12 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable AI and ML systems.
Proven track record in leading cross-functional teams.
Strong focus on simplifying complex engineering challenges.

Stackforce AI infers this person is a SaaS expert with a focus on AI and machine learning engineering.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningSoftware Development

Other Skills

OptimizationStrategy ExecutionStrategic PlanningMicrosoft SQL ServerSQL Server Management StudioBusiness Intelligence ToolsBusiness IntelligenceDatabase DesignBusiness RequirementsAnalytical SkillsData WarehousingETLSSIST-SQLDatabases

About

I build teams that think and operate like intelligent systems: adaptive, scalable, and driven by purpose. My work sits at the intersection of AI, engineering, and organizational design. Over the years I have led teams that not only deliver enterprise grade AI and machine learning systems but also develop frameworks that make innovation repeatable and disciplined. I focus on shaping clarity through architecture by defining principles, rhythms, and cultural systems that allow teams to self orient and deliver with precision. My leadership philosophy centers on designing environments where excellence becomes instinct rather than instruction. I am deeply committed to growing the next generation of engineering leaders who combine technical mastery with systems thinking with a bias for simplicity. Whether evolving large scale AI systems or aligning cross functional strategies, my goal remains constant: to turn complexity into elegant systems that scale human creativity and business impact

Experience

12 yrs 9 mos

Total Experience

6 yrs 4 mos

Average Tenure

11 yrs 1 mo

Current Experience

Nike

5 roles

Director, GenAI/AIML Engineering

Promoted

Jun 2025 – Present · 10 mos

Shaping and leading teams that deliver GenAI, agentic, and next-gen AI/ML capabilities at Nike. Engineering scalable systems that accelerate insights, enhance decision-making, and drive enterprise-wide value

Artificial Intelligence (AI)Software Development

Software Engineering Manager, AI/ML Engineering

Promoted

Mar 2023 – May 2024 · 1 yr 2 mos

In this role I led In-Season and Assortment planning engineering teams in Nike to deliver next-generation optimization and planning solutions for Nike's Supply Chain. I was also part of global leadership team for Supply Chain & Planning AI/ML Engineering.

Artificial Intelligence (AI)Machine LearningSoftware DevelopmentOptimization

Lead Engineer, AI/ML Engineering

Oct 2021 – Mar 2023 · 1 yr 5 mos

In this role I primarily worked in Supply Inventory and Planning sub-domain in Supply Chain with a total estimated revenue impact of 50-100 M across several engineering solutions. I was focused on improving overall engineering maturity by crafting and executing on multiple technical migrations for pre-existing live solutions. I also restructured the operational model for an engineering unit serving a business function that resulted in streamlined value delivery at scale.
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Tech Stack: Python, Terraform, Docker, SQL, YAML, AWS, SnowFlake, Jenkins

Machine LearningSoftware DevelopmentOptimization

Senior Consultant, Analytics and AI/ML Engineering

Promoted

Oct 2018 – Oct 2021 · 3 yrs

In this role I worked across multiple engineering teams operating in analytical space across several sub-domains in Product Creation and Supply Chain. My focus was helping lead engineering teams for new initiatives through the lifecycle of inception to production grade maturity. I worked with business stakeholders, product, domain and solution architects.
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Tech Stack: AWS, Apache Airflow, Apache Spark, Qubole/Databricks(PaaS), KubeFlow, Python, Snowflake, Tableau, Terraform(IaC),Jenkins, Docker

Machine LearningSoftware Development

Consultant, Integration and Automation

Jan 2014 – Sep 2018 · 4 yrs 8 mos

Worked in various teams spanning across multiple domains. The core focus of my time in these engagements was to work as a specialist in troubleshooting integration platforms used in Nike and working on large scale migrations spanning across enterprise.
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Tech Stack: Linux, Oracle Fusion, Informatica, Splunk, SAP , PL-SQL, Cognos, Teradata, PL-SQL, T-SQL, Python, Terraform

Software Development

Citizens bank

BI Developer (Judge Group)

Mar 2012 – Nov 2013 · 1 yr 8 mos

In this role , I operated in the capacity of a Database Developer and BI specialist. I helped the client modernize their analytical layer that was critical for business users to meet quarterly reporting goals in the domain of credit risk management.
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Tech Stack: T-SQL, SQL Server, SSIS, SSMS, OBIEEE