Industry/Sector

Specialism

Management Level

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements

The Opportunity

• When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Data and Analytics Engineering team you will lead the design and implementation of innovative healthcare data models that drive interoperability and analytics. As a Manager you will inspire and mentor your team while managing client accounts and securing the delivery of quality solutions that meet client expectations. This role offers the chance to work at the forefront of healthcare data transformation, leveraging your knowledge to create impactful solutions that enhance patient care.

Responsibilities

• Lead the design and execution of innovative healthcare data models
• Inspire and mentor team members to achieve their potential
• Manage client accounts and deliver exceptional solution delivery
• Drive interoperability and analytics within healthcare data
• Collaborate with stakeholders to enhance patient care
• Utilize knowledge to create impactful data solutions
• Foster a culture of continuous improvement and innovation
• Uphold the utmost standards of quality and client service

What You Must Have

• Bachelor's Degree
• 4 years of experience in Data Modeling
• Oral and written proficiency in English required
• Any Graduation / Post Graduation

What Sets You Apart

• 4 years of experience in Data Modeling
• Hands-on experience with Cloud technologies
• Familiarity with Data Vault modeling
• Proficiency in SQL and SQL Procedure builds
• Analyzing Data Warehouse performance issues
• Developing end-to-end data solutions
• Creating logical and physical data models
• Validating business data objects for accuracy

Travel Requirements

Job Posting End Date