Oracle Data & Analytics Technology Director

Key Skills

Agile methodologies, Alteryx, Automation Testing, Data Architecture, Data Modeling, Design, Java Programming, PowerBI, Python Programming, SQL

Job Description

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Director, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Support team to disrupt, improve and evolve ways of working when necessary.
• Arrange and sponsor appropriate assignments and experiences to help people realise their potential and support their long-term aspirations.
• Identify gaps in the market and spot opportunities to create value propositions.
• Look for opportunities to scale efficiencies and new ways of working across multiple projects and environments.
• Create an environment where people and technology thrive together to accomplish more than they could apart.
• I promote and encourage others to value difference when working in diverse teams.
• Drive and take ownership for developing connections that help deliver what is best for our people and stakeholders.
• Influence and facilitate the creation of long-term relationships which add value to the firm.
• Uphold the firm's code of ethics and business conduct.

Basic Qualifications:

Minimum Degree Required:

• Bachelor Degree

Required Fields of Study:

• Finance, Data Processing/Analytics/Science

Minimum Years of Experience:

• 7+ years of Client Facing External Consulting experience, or Hybrid of Financial Services Industry + Some Consulting experience.

Preferred Qualifications:

Degree Preferred:

• Master of Business Administration

Preferred Knowledge/Skills:

• Manage data strategy, data roadmap, data governance, and data solution implementation projects
• Lead a team of business analysts, data analysts, and developers to deliver a data engagement
• Analyze end-to-end data flows and conduct hands-on data analysis
• Lead the design of improved data flows, data architecture, and data solutions in partnership with the subject matter experts and the client
• Drive technology and data solution assessments to provide point-of-view and recommendations
• Oversee project timelines, risks, and issues and escalate when appropriate

Demonstrates thought-leader level abilities and/or success in the following areas:

• Managing of consulting engagements pertaining to Data Architecture, Data Models design and implementation, and agile data modeling techniques.
• Designing of Finance technology architectures, Finance Data Models that are part of technology modernization initiatives and benchmarking/standard industry practices.
• Understanding of the functionality of finance systems, such as General Ledgers, Sub-Ledgers, Hyperion, Finance Data Warehouse/Repositories and other related applications.
• Executing large finance, enterprise and/or data architecture transformation programs.
• Understanding various data domains industry specific but required by finance organizations within the enterprise.
• Understanding common issues facing clients in the insurance industry.
• Managing efforts with identifying and addressing client needs by building, maintaining, and utilizing networks of client relationships and community involvement; communicating value propositions; managing resource requirements, project workflow, budgets, billing and collections; and, preparing and/or coordinating complex written and verbal materials.
• Supervising teams to create an atmosphere of trust; seeking diverse views to encourage improvement and innovation; and coaching staff including providing timely meaningful written and verbal feedback.
• Automating of processes and analytics and the technologies that enable automation (Alteryx, UiPath, Power BI, etc.)
• Utilizing technical skills in MS Office, G-suite