IT Data Quality Manager
WARSAW DOWNTOWN OFFICE
Procter & Gamble
Job Location
WARSAW DOWNTOWN OFFICEJob Description
We are looking for a Data Quality Manager to join our Intelligent Operations team in Warsaw. As IT Data Quality Manager, you will play a critical role in ensuring the accuracy, integrity, and reliability of our IT data. You will work closely with cross-functional teams, leveraging your expertise to establish and maintain robust data quality standards and processes. The role combines analytics and management accountabilities. This is an exciting opportunity to make a significant impact on P&G's data-driven, AI supported decision-making capabilities.
Job Responsibilities
Develop and implement data quality standards, , and procedures to ensure the accuracy and completeness of IT data.
Collaborate with stakeholders to identify data quality issues, root causes, and opportunities for improvement – from data sources through data pipelines to data consumption.
Conduct data profiling and analysis to identify data quality issues.
Work closely with data architects, engineers and data asset managers to analyze, design data cleansing and remediation strategies to continuously improve our pipeline for reliability.
Lead design and build of data quality status visualization and scorecard, leveraging Data Visualization and Observability tools.
Monitor data quality metrics, classify results and perform regular audits to identify and resolve data discrepancies or anomalies.
Manage data incidents, drive root cause analysis and resolution in the larger team.
Drive issue resolution by leveraging our Observability and automation capabilities to avoid recurring issues.
Regularly review and adjust data quality results and strategy with stakeholders, introduce improvements and innovations to development approaches, data engineering practices and architecture strategies.
Provide guidance and training to business users on data quality best practices and data governance principles.
Stay updated with industry trends and emerging technologies related to data quality management, and recommend innovative solutions to enhance data quality practices.
Job Qualifications
Qualifications
Proven professional experience as a Data Quality Manager or in a similar role
Strong knowledge of data quality frameworks, methodologies, and best practices.
Proficiency with requirement, issue and root cause analysis
Proficiency in data profiling and validation techniques, hands-on experience with data quality tools and software
Good technical skills in data visualization tools like Power BI
Solid understanding of data governance principles and practices
Excellent analytical and problem-solving skills, with the ability to identify data quality issues and develop effective solutions
Strong communication and interpersonal skills, with the ability to collaborate with cross-functional teams and influence stakeholders.
Drive for results and persistence to succeed in a dynamic, multi-dimensional environment
English proficiency and Bachelor's degree in Computer Science, Information Systems, or a related field. Advanced degree preferred
Nice to Have
Familiarity with data management and data integration concepts, preferably experience in cloud environment (Microsoft Azure)
Knowledge of SCRUM and DevOps methodologies
Hands-on experience with Observability methodology and tools
Certification in data (quality) management (e.g., CIDQ, CDMP) is a plus.
What we offer:
Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning.
Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one.
Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings.
Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents.
Who we are:
P&G was founded over 180 years ago as a simple soap and candle company. Today, we are the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment! We commit to provide you with equal opportunities in employment! We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full timeJob Number
R000100401Job Segmentation
Experienced Professionals (Job Segmentation)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Computer Science Data governance Data management Data pipelines Data quality Data visualization DevOps Engineering ITIL Pipelines Power BI Scrum
Perks/benefits: Career development Equity Flex hours Health care
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