Cybersecurity, Privacy and Forensics - Analytics - Senior Manager

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 Analytics team focuses on leveraging advanced analytical and cybersecurity, privacy, and forensic techniques to help identify, mitigate, monitor, and respond to risks that impact our clients' ability to effectively deliver on their business strategy. We focus on assisting organisations analyze vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests, cyber incidents, and investigations.
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 Senior 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:

• Take action to ensure everyone has a voice, inviting opinion from all.
• Establish the root causes of issues and tackle them, rather than just the symptoms.
• Initiate open and honest coaching conversations at all levels.
• Move easily between big picture thinking and managing relevant detail.
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
• Develop specialised expertise in one or more areas.
• Advise stakeholders on relevant technical issues for their business area.
• Navigate the complexities of global teams and engagements.
• Build trust with teams and stakeholders through open and honest conversation.
• Uphold the firm's code of ethics and business conduct.

Demonstrates extensive abilities and/or a proven record of success in the following;

• Having the ability to think critically about the problem at hand and apply analytics strategy to solve problem and/or identify relevant observations for reporting;
• Being comfortable with working in a fluid and fast paced environment where priorities, approaches, and deliverables are rapidly developed and iterated upon;
• Demonstrating history of working with business and other non-technical stakeholders;
• Having the ability to translate technical concepts and results into business terms and impact;
• Having the ability to clearly document work performed and observations identified;
• Having the ability to synthesize key themes/concepts, critical issues/risks, etc. into succinct executive level communications (i.e., powerpoint, written reports, etc.);
• Having the availability for both domestic and international travel on short notice and work additional hours as necessary;
• Having proficiency with oral and written communication skills;
• Having experience using ETL (Extract, Transform and Load), and having experience with SQL, Alteryx, Power Query and / or other agile technologies;
• Possessing knowledge of business intelligence & data visualization software (e.g. Tableau, PowerBI, Qlik);
• Having exposure to data from accounting systems application such as SAP, Oracle / PeopleSoft, JD Edwards etc;
• Having exposure to a range of statistical and analytical techniques such as: Natural language processing, machine learning, conceptual modelling, algorithms, statistical analysis, predictive modeling and hypothesis testing;
• Having experience leading analytic teams that have created and applied analytic frameworks to solve complex business problems;
• Having the ability to identify and process critical data (e.g. internal client data, external public data, and new sources of data) to challenge the status quo through innovative thought leadership in the application of quantitative methodologies to improve decision-making; and;
• Having experience identifying and addressing client needs: building, maintaining, and utilizing networks of client relationships;

Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance