Senior Industry Data Analyst (Analytics & AI)- Construction and Engineering

The Senior Industry Data Analyst will be a flexible, results-oriented, and authority product strategy professional.  This role combines industry knowledge with a great instinct for developing compelling Analytics & AI outcomes with a strong focus on users; a technical skills to work with an outstanding data science and development team; and the business sense to prioritize pivotal initiatives.

We are looking for an upbeat and versatile individual to be a pivotal member of the Analytics & AI Product Strategy team. This role has both internal and external facing capacities which demonstrate a combination of industry knowledge and data science skills. 

On the internal side, the Senior Industry Data Analyst is a member of a product strategy team that is deeply coordinated into the product management and data science processes in place to create and refine Analytics & AI powered features across the Oracle Construction & Engineering portfolio. Aligned with our strategic priorities, the Senior Industry Data Analyst will demonstrate their industry knowledge and background in data science to help drive the identification of key outcomes and then help guide the definition of the required data and data science experiments (as appropriate) vital to deliver them. This internal work is done in close collaboration with with Product Management, Data Science, Engineering, UX and other product delivery partners. On the external side, the Senior Industry Data Analyst will regularly meet with customers during the pre-sales, post-sales, and customer advisory board product engagement activities. Additionally, this role may function as Oracle’s representative to industry associations and working groups (e.g., CII, ABC, AGC, etc) for presentation of ongoing activities and direct engagement with industry. 

You will contribute to consistency, a culture of exploration, then delivery and customer satisfaction, with 5 key measures:

1. Adoption “Are people using it?”
2. Customer Satisfaction “Do they like it?”
3. Financial “Are they buying it?”
4. ROI “Are we making money?”
5. Employee satisfaction “Are we aligned?

This is a position that requires a combination of strong engagement and interpersonal skills, pragmatic thinking, tactical execution and the ability to balance a high-reaching mix of priorities and collaborator views.  You should be experienced in participating in the creation of business plans, go to market plans and launch plans for a global business.  You will be working directly with your Strategy Lead, Product Experience & Product Development to deliver product offerings that grow the business. 

In this position, you will collaborate with sales, pre-sales, product marketing, corporate marketing, and customer support to define the best path forward for Analytics & AI.  You will engage with product management, product development and product experience to ensure products are delivered to delight customers.  You will also act as a main representative for your stream internally and externally.  Engaging with internal teams, customers, and partners will be common. 

Career Level - IC6

Key responsibilities include:

• Understand the customer and their needs and is their advocate 
• Understand the market, customers and product management strategy and convey these contexts to the team.
• Work with your Strategy Lead for the creation, management and prioritisation of data science hypotheses and experiments 
• Work hand-in-hand with product management, product development, and product experience teams to ensure alignment of objectives, timely delivery and positive customer outcomes
• Connect with and get agreement from crucial team members on product strategy, incorporating external (our customers) and internal. Continue to make development, marketing, support and relevantly sales and pre-sales feel good about your stream’s offerings and direction.
• Make decisions based on specific and deep market and metrics analysis. 
• Ensure that what we build adds up to significant experiences for our customers
• Bring together feedback to improve our solutions 
• Be subject matter authorities in our products 
• Proactively chip in to ongoing process improvement and ensure high quality outcomes for our customers
• Review and chip in to user documentation as a part of our release to market processes
• Pro-active in helping others through building capability and supporting peers.

Leadership

• Ensure effective collaboration for new and existing AI & Analytics feature development, acting as advocate for specific hypotheses and approaches with for Product Management, Data Science, Product Experience and Product Development. 
• Ensure implementation of effective team managemen