At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In contract lifecycle management technology (CLM) at PwC, you will specialise in providing consulting services for implementing CLM technology solutions. You will have extensive experience in various CLM technologies.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness, enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
Functional Analyst (Senior Associate)
Experience – 5-10 Years
Job Description
The functional analyst will be an integral part of the practice and the solution delivery team in
bringing strong functional knowledge of contracting processes across domains and how they
translate into capabilities within a contract lifecycle management solution and how such
technology enablers bring business value.
The analyst will closely work with the leadership team and peers across pursuits, pre-sales
activities, and delivery of engagements. The functional analyst is also expected to support
practice level initiatives, including but not limited to, periodically scanning the market for
domain, technology, and process trends and building collaterals for the practice.
Roles And Responsibilities
- Support pursuit teams in reviewing RFP requirements and building corresponding
content to respond to pursuits
- Build functional prototypes of common CLM solutions in support of identified business
needs and proposal demos
- Keep up to date with market trends in contract lifecycle management processes and
support the broader practice in building position papers and thought leadership articles
- Be part of the engagement delivery team specific to Contract Lifecycle Management
Implementations, Including Performing The Following Activities
- Be part of the engagement delivery teams implementing contract lifecycle management
Solutions, Including Performing The Following Activities
○ Gather functional requirements for contract types, templates, clauses, rules,
workflow, etc., to configure the target solution
○ Conduct / lead functional workshops to understand current state processes, drive
future state workflow requirements, Fit/Gap analysis and related functional needs
including security, integration, lifecycle activities, reporting, and migration
○ Lead / support contract migration data gathering activities
○ Manage requirements traceability from analysis through implementation
○ Work closely with business stakeholders to perform requirement reviews and
signoff sessions
○ Develop user acceptance tests and functional test scenarios and work with
development team throughout the implementation
○ Develop training materials around the solution configuration
○ Conduct “train-the-trainer” sessions with clients to perform knowledge transfer on
configured systems
○ Track issues and resolutions on functional requirements
○ Develop change management materials such as go-live communication drafts
- Familiarity with the concepts and ideally foundational experience with building AI
machine learning models, training models with annotated training sets and in tuning
accuracy and relevance parameters
Desired Qualifications
The ideal candidate should possess the following qualifications:
- University degree (Bachelor or higher), preferably with focus on Law / Legal degree
- 2+ years of experience in working with Contract Lifecycle Management solutions on
buy-side / sell-side contracts such as Icertis, Apttus, Conga, etc.
- 3+ years of experience in being part of a technology implementation team and
possessing strong familiarity with Software Development Lifecycle (SDLC) processes
including requirements gathering, functional testing, and training
- Strong, proven written and verbal communication skills in English
- Strong familiarity in reviewing contract documents including analysis of contract
language, identification of key terms and conditions, business attributes, clauses etc.
- Demonstrated ability in working in a team environment, collaborating with project
manager, development team, testing team, clients, and technology vendors
- Experience in working in an onshore-offshore environment and in coordinating activities
across time zones
- Familiarity with Agile development methodologies including creation of user stories,
acceptance criteria, and scope estimation methods
- Membership / Participation in industry conferences / consortiums related to contract
management such as CLOC, WorldCC, NCMA, or similar regional organizations
- One or more functional certifications in CLM solutions
- Familiarity with the concepts and ideally foundational experience with building AI
machine learning models, training models with annotated training sets and in tuning
accuracy and relevance parameters