at PwC in Chicago, Illinois, United States
Job Description
Specialty/Competency: Cybersecurity & Privacy
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 40%
A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. You will be part of a growing team driving strategic programs, data analytics, innovation, deals, cyber resilency, response, and technical implementation activities. You will have access to not only the top Cybersecurity, Privacy and Forensics professionals at PwC, but at our clients and industry analysts across the globe.
Our Information Governance team focuses on helping our clients protect their business in today’s evolving landscape by applying advanced and strategic approaches to information management. We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events, which includes litigation, regulatory requests and internal investigations.
Our team helps our clients understand their current capabilities and assist in the implementation of governance controls to effectively mitigate information risk and maximise exploitation of their information assets.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
+ Pursue opportunities to develop existing and new skills outside of comfort zone.
+ Act to resolve issues which prevent effective team working, even during times of change and uncertainty.
+ Coach others and encourage them to take ownership of their development.
+ Analyse complex ideas or proposals and build a range of meaningful recommendations.
+ Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
+ Address sub-standard work or work that does not meet firm’s/client’s expectations.
+ Develop a perspective on key global trends, including globalisation, and how they impact the firm and our clients.
+ Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
+ Focus on building trusted relationships.
+ Uphold the firm’s code of ethics and business conduct.
Job Requirements and Preferences :
Basic Qualifications :
Minimum Degree Required :
Bachelor Degree
Minimum Years of Experience :
5 year(s)
Preferred Qualifications :
Certification(s) Preferred :
EDM Council DCAM Certified Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Certified Data Management Professional (CDMP)
Preferred Knowledge/Skills :
Demonstrates extensive abilities and/or a proven record of success managing projects with the following:
+ Defining and assessing of Data Governance strategy, architecture and practices, and technology implementation;
+ Possessing command of governance models to support data governance efforts in an enterprise setting, including organizing data governance across a 3-line of defense model;
+ Demonstrating experience leading Data Governance projects to define strategy and roadmap, operating model, policies/standards, and tool design and process documents;
+ Possessing knowledge and experience with at least one major data governance enterprise platform (e.g., Collibra, Alation, or Informatica);
+ Possessing knowledge and experience with data analysis and enterprise metadata management, especially in the context of Privacy and Data Lifecycle use cases;
+ Having experience deploying data lineage and data flow inventory solutions;
+ Demonstrating experience implementing structured data archiving and data lifecycle management activities;
+ Having a background in DCAM or related data governance frameworks;
+ Managing teams implementing Data Governance tools with a complex business environment, through requirements gathering, building, testing, and production roll-out;
+ Demonstrating experience leading Data Governance projects to define strategy and roadmap, operating model, policies/standards, and tool design and process documents;
+ Identifying and addressing client needs: building solid relationships with clients; demonstrating flexibility in prioritizing and completing tasks; and resolving potential conflicts as a leader;
+ Managing a team and/or work stream on engagement(s), development of staff, business development, and communications with executives;
+ Leading project planning, engagement administration, budget management, and the successful completion of engagement work streams;
+ Managing business development opportunities and/or engagements from pre-sale and initial scoping through final delivery and sign-off;
+ Collaborating with business development teams responsible for writing and presenting proposals to prospective clients; and,
+ Demonstrating negotiation, documentation and presentation skills.
Demonstrates extensive abilities and/or a proven record of success in the following:
+ Design and build knowledge graph-based solutions using RDF compliant graph technology, ETL solutions (open source or COTS specific), and visualization technologies (e.g., Tableau, PowerBI, etc.);
+ Capture architecture requirements and design scalable knowledge graph infrastructures;
+ Utilize deep knowledge of one or more triple stores such as StarDog, MarkLogic, or other industry-leading solutions;
+ Develop expertise in RDF and OWL standards to effectively design and implement solutions;
+ Source and transform data into the knowledge graph in a scalable and efficient manner using open-source or commercially available etl solutions (e.g., Informatica, BigQuery, AbInitio, Azure Data Factory, etc);
+ Ensure data governance and implement data management best practices in the knowledge graph environment;
+ Collaborate with cross-functional teams to ensure successful delivery of projects;
+ Provide technical guidance and mentorship to junior team members;
+ Stay up-to-date with industry trends and advancements in the knowledge graph space;
+ Strong familiarity with SPARQL, SHACL, SKOS, JSON-LD, and related technologies;
+ Proven ability to capture architecture requirements and design scalable knowledge graph infrastructures;
+ Data governance and data management experience, including ETL solutions, data catalogs, and data quality/profiling tools, including tools such as Microsoft Purview, Collibra, Alation, and Informatica);
+ Proficiency in RDF and OWL standards for modeling and representing knowledge;
+ Posses problem-solving and analytical skills;
+ Possess communication and interpersonal skills to collaborate effectively with stakeholders;
+ Ability to effectively manage multiple projects and prioritize tasks;
Additional Skills:
+ Experience with ontology modeling and semantic web technologies.
+ Proficiency in scripting languages, such as Python or Java;
+ Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform;
+ Understanding of machine learning and natural language processing techniques;
+ Experience with interfacing Knowledge Graphs with Large Language Models;
+ Familiarity with data visu