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Benjamin Arnulf

Benjamin Arnulf, Senior Director, Product Strategy, Analytics, Oracle

Describe your career to date

Global analytics leader with 15+ years of international hybrid experience in Europe and the USA implementing top-level data, analytics, AI and innovative technology solutions, as well as tactics that drive efficiency, cost savings, value and revenue for Fortune 500 companies. 

 

I worked as a senior director for BI and analytics for 15 years at the Hertz Corporation. Implementation experience with financial, planning, procurement, and Spends analytics on a $10B P&L leveraging data to reduce spending and increase revenue. Successful large-scale ERP/SCM/EPM/Analytics global implementations, up to $100M, with Accenture, E&Y, KPMG, McKinsey, FTI, IBM and Deloitte. Experience with 10+ full cycle ERP, BI & EPM implementations managing business analysts, developers and data scientists. Programs include infrastructure, architecture, security, network, development and testing. 

 

I’m now working as a product strategy leader for data and analytics with a mission to simplify and unify Oracle analytics, AI and machine learning. I’m responsible for the Oracle analytics leaders program, customer advisory board and council. Hybrid experience between Implementer, Product Strategy & Product Management. Led 1,000+ customer product strategy meetings generating key product improvement and revenue. Successful transition of Oracle Analytics to visionary in the Gartner magic quadrant and leader in the Forrester Wave! Experience with autonomous technology, artificial intelligence, data visualization, augmented analytics, machine learning and robotic process automation. 

  • Awarded #1 global leader data warehouse and big data for the Oracle excellence award.
  • Ranked #2 as subject matter expert for big data and analytics by Onalytica across 75 companies and 250K+ employees.
  • Top #21 influencers in data analytics in 2021 by Rivery.  

What stage has your organization reached on its data maturity journey?

The organization is totally mature and advanced in terms of data maturity. We are using, descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics to analyze our product. 

 

Tell us about the data and analytics resources you are responsible for

I’m currently responsible for a team of principal product managers. They are sitting in the product strategy team in charge of analyzing the voice of customers, sharing the vision, strategy, roadmap, collecting feedback and coordinating with the product management to include this feedback in our product roadmap. The team is also working as a product management outbound team and is responsible for customer tasks part of our go to market strategy. 

What challenges do you see for data in the year ahead that will have an impact on your organization and on the industry as a whole? 

AI is now able to generate a lot of predictions and insights. The challenge is ensuring the organization has the right experts with the correct knowledge to ensure insights from AI vision, AI language, AI forecasting, Auto-ML and other data services are correctly understood and explained. 

 

Have you set out a vision for data? If so, what is it aiming for and does it embrace the whole organization or just the data function?

The vision for data in our team is to ensure we simplify our data. The goal is to go from data to augmented analytics, to contextual decision and finally to take action. 

 

Have you been able to fix the data foundations of your organization, particularly with regard to data quality?

This has been worked successfully by our service excellence team.

Benjamin Arnulf
Benjamin Arnulf
has been included in:
  • 100 Enablers 2023 (USA)