Data Modeler

Construct and review data models in accordance with standards
- Join a growing and well established engineering team.
- Insights & Data practice delivers cutting-edge data centric solutions.

As a leading strategic partner to companies around the world, we have leveraged technology to enable business transformation for more than 50 years. We address the entire breadth of business needs, from strategy and design to managing operations. To do this, we draw on deep industry expertise and a command of the fast-evolving fields of cloud, data artificial intelligence, connectivity, software, digital engineering, and platforms.At Capgemini we are driven by a shared purpose: unleashing human energy through technology for an inclusive and sustainable future. Capgemini. Get the future you want.

**About the Service Line**:
Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia's top performing companies, and they choose to partner with Capgemini for a very good reason - our exceptional people. Due to continued growth within Capgemini's Insights & Data practice we intend to recruit a Data modeler with relevant consulting and communication skills. If you are already working in a consultancy role, or have excellent client-facing skills gained within large organizations, we would like to discuss our consultant opportunities with you.

**About the Role**:
**Role Purpose**:
Be an expert member of a Team of data modelling professionals
- As a senior member of the group provide guidance to other data modellers
- Undertake data modelling and related activities associated with the role and the job type
- Support Enterprise data models - Normalised and Dimensional
- Develop and implement data modelling principles and processes
- Develop and implement data modelling principles and processes
- Develop and implement data asset governance processes, and ensure adherence to these standards
- Provide leadership to project and engineering teams on matters of modelling and data architecture
- Advisory to internal data governance and architecture forums
- Provide Consultancy and education to the enterprise in relation to data conformance and modelling

**Role Description**:
Key Decision Making:

- Construct and review data models in accordance with standards
- Develop and embed good data modelling and data asset governance practices
- Working with others make decisions on data models and work with the head to refine, approve and present ideas and data models for larger enterprise approval

Key Accountabilities:

- Review, design, manage, uplift enterprise data models for strategic data platforms
- Provide effective governance of model development

Stakeholders
- Work with a number of stakeholder groups including enterprise data and architects
- Work with data delivery and orchestration teams, analytics and insights teams, data provisioning platform and architecture teams
- Leadership teams include some senior stakeholders
- Banking Business SME’s, data steward
- Data Engineering Teams

Key Performance Indicators
- Meet the following key job requirements:

- Ensure the correct levels of compliance of data models built to enterprise standards
- Turnaround of model design / governance requests
- Proactively manage risk meeting all policy and compliance requirements; perform controls, adhere to process and procedures pertinent to the role and escalate events, issues or breaches as they are identified to the relevant controls and escalation forums.

**Role Responsibilities**:

- Essential Capabilities
- Logical and Physical data modelling in complex environments - spanning traditional data warehousing to the Cloud Data Platform
- Experience in different modelling methodologies including 3NF, Dimensional and Data Vault
- Experience in IFW or similar Banking model tools or Frameworks is highly desirable.
- Results Driven, analytical and creative thinking
- Innovative problem solver
- Self-motivated and proactive
- Highly organised
- Has strong stakeholder relationship management
- Prior experience working in an agile squad environment with mínimal supervision

Other Capabilities
- Highly desirable - Proficient and experienced with Erwin and IBM/FSLDM industry data model
- Highly desirable - Banking Domain background
- Strong SQL knowledge will be very useful

**Role Requirment**:

- 7+ years of data modelling and or data architecture experience - proven credentials where the person played a leadership role in this expertise
- Sound knowledge of data modelling practices and processes
- Demonstrated record of building trusting relationships and business partnering and key internal stakeholders
- Experience in large enterprise and financial services firms
- Managed teams of greater than 6 people
- Education level - Degree in Computer Science or related field
- Understanding of Financial Services Industry could be highly advantageous.