Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

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

Craft and convey clear, impactful and engaging messages that tell a holistic story.Apply systems thinking to identify underlying problems and/or opportunities.Validate outcomes with clients, share alternative perspectives, and act on client feedback.Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.Deepen and evolve your expertise with a focus on staying relevant.Initiate open and honest coaching conversations at all levels.Make difficult decisions and take action to resolve issues hindering team effectiveness.Model 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.

Qualifications:

● Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.

● Certifications: Relevant certifications in Data Governance (DAMA), Cloud Platforms (Azure/AWS), DevOps, or Agile Delivery.

● Experience:
○ 8+ years of experience in data architecture, governance, and delivery roles.
○ Proven experience in implementing and managing data governance frameworks, particularly DAMA.
○ Extensive experience in data modeling (Kimball for structured, vectorized for
unstructured, and IoT streaming data).
○ Hands-on experience with cloud platforms (Azure preferred, AWS considered).
○ Familiarity with agile methodologies, leading practices in data delivery, and DevOps integration.
○ Experience in business development and sales within the data and analytics
domain.
○ Experience in delivery management, overseeing data projects from inception to completion.

Role related Attributes:

● Industry Experience: Experience in complex data environments such as financial services, telecommunications, or mining.
● Progression in Roles: Demonstrated career progression with increasing responsibilities.
● Hands-on Developer Background: Preference for candidates who started in hands-on roles such as data engineering, BI development, or business analysis.
● Soft Skills: Strong communication, problem-solving, adaptability, and team collaboration skills.

Skills sets required:

1. Business Development & Sales:

○ Identify and develop new business opportunities within the data and analytics
domain.
○ Engage with potential clients to understand their needs and propose tailored data solutions.
○ Collaborate with the sales team to drive revenue growth and expand the company’s market presence.

2. Delivery Management:

○ Oversee the delivery of data projects, ensuring they are completed on time, within scope, and on budget.
○ Manage project teams and coordinate with cross-functional teams to ensure
successful project outcomes.
○ Implement best practices in delivery management to optimize efficiency and client satisfaction.

3. Experience in Data Architecture:

○ Lead the design and development of scalable data architectures, employing industry best practices.
○ Hands-on experience with data modeling, including Kimball methodologies for structured data and vectorized models for unstructured and IoT streaming data.
○ Architect solutions on cloud platforms, with a preference for Azure, but AWS
experience is also valuable.

4. Experience in Data Governance & Compliance:

○ Implement and maintain data governance frameworks in alignment with DAMA principles.
○ Ensure data compliance with relevant regulations and standards.
○ Develop and manage data quality metrics, policies, and procedures.

5. Experience in DevOps & Agile Integration:

○ Integrate DevOps practices into the data architecture and delivery process to ensure continuous integration, delivery, and deployment of data solutions.
○ Drive agile delivery practices within the Data Delivery Excellence team, ensuring iterative and incremental development of data solutions.
○ Implement monitoring, logging, and alerting solutions to ensure the reliability and performance of data systems.

6. Technical Expertise:

○ Proficiency in SQL and Python for data manipulation, transformation, and
automation.
○ Strong understanding of cloud-native data services, particularly within Azure and AWS ecosystems.
○ Ability to integrate data from various sources, including IoT and unstructured data streams.
○ Experience in designing and developing APIs for data integration and management.

7. Leadership & Collaboration:

○ Act as a key partner to the Data Lead, taking ownership of major projects and
leading teams to successful delivery.
○ Foster a collaborative and innovative team environment, promoting best practices in data management.
○ Mentor and develop junior team members, ensuring the team's growth and
continuous improvement.

8. Industry Expertise:

○ Experience in complex data environments such as financial services,
telecommunications, or mining.
○ Familiarity with industry-specific data challenges and solutions.

9. Innovation & Continuous Improvement:

○ Stay current with industry trends and emerging technologies in data architecture, governance, and analytics.
○ Champion continuous improvement initiatives to enhance data capabilities across the organization.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Job Posting End Date

January 2, 2025