PwC
Website:
pwc.com
Job details:
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.
Skills
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 drive the development and implementation of scalable Informatica Master Data Management solutions. As a Manager you will lead a team in executing MDM initiatives, securing alignment with enterprise data governance while fostering collaboration and innovation across business and IT stakeholders.
Responsibilities
- Spearhead the development of scalable Informatica Master Data Management solutions
- Guide a team in executing MDM initiatives effectively
- Maintain alignment with enterprise data governance standards
- Promote collaboration between business and IT stakeholders
- Identify opportunities for innovation in data management
- Monitor project progress and maintain timely delivery
- Provide mentorship and support to team members
- Leverage data analytics to drive decision-making
What You Must Have
- Bachelor's Degree
- 6 years of experience in Master Data Management
- Oral and written proficiency in English required
What Sets You Apart
- Bachelor's or Master's Degree in Computer Science
- Certifications in Informatica MDM or Project Management
- Managing large-scale Informatica MDM implementations
- Leading multi-disciplinary teams in MDM projects
- Collaborating with business stakeholders and IT teams
- Driving data quality monitoring and continuous improvement
- Staying current with MDM industry trends and technologies
- Knowledge of data catalogs, data lakes, and data warehouses
Click on Apply to know more.