Data Strategy-Manager

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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.

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

As part of the Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver exceptional client service while maintaining rigorous standards of quality and integrity.

This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics.

Responsibilities

* Lead the creation and execution of data-driven strategies to enhance business performance

* Inspire and motivate team members to leverage their strengths for exceptional client service

* Maintain the delivery of quality work while adhering to ethical standards

* Collaborate on innovative projects that advance data management and analytics

* Utilize advanced technologies to refine decision-making processes

* Foster a culture of continuous improvement and professional development

* Manage project timelines and deliverables effectively

* Analyze complex data sets to derive actionable insights

What You Must Have

* Bachelor's Degree

* At least 5 years of experience

What Sets You Apart

* AWS Certified Data Analytics / Solutions Architect

* Azure Data Engineer / Azure Solutions Architect

* Google Professional Data Engineer

* DAMA CDMP (Certified Data Management Professional)

* Informatica Certified Professional

* Alation Certified Data Catalog Professional

* Collibra Certified Ranger/Steward/Expert

* SAP Certified Application Associate - SAP Master Data Governance (MDG)

* Snow Pro Core / Snow Pro Advanced

* Databricks Certified Data Engineer / Data Analyst / ML

* Proven leadership in data-driven strategies

* Experience in defining data governance frameworks

* Understanding of modern cloud data architectures

* Knowledge of data warehousing concepts

* Familiarity with big data engineering tools

* Proficiency in SQL and data…