PwC

Data Governance- Manager

$99K–$232KFull-time · MN-Minneapolis
✓ Verified live on the employer's own system · added 19 days ago
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Mid-level · 5+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 5+ years

Skills & tools

ManagementTeam LeadershipCloud PlatformsData AnalysisDatabricksStatistical AnalysisCoachingFinancial Analysis
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Full job description

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.

As part of the Data Governance 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 supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.

This is an exciting opportunity to leverage your knowledge in data governance and analytics to make a significant impact on our clients' success.

Responsibilities - Lead the creation and execution of data governance strategies - Supervise and mentor team members to enhance their skills - Manage client accounts and confirm deliverables meet quality standards - Analyze data to inform business decisions and drive growth - Foster collaboration within teams to enhance engagement workstreams - Uphold the firm's methodologies and confirm compliance with standards - Identify areas for enhancement in data management processes - Encourage innovative approaches to enhance data-driven solutions

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/Professionals - SAP Certified Application Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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This posting was published by PwC on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.