Data Management and Strategy, Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data management focus on organizing and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

You will be part of the Cloud and Data practice, where you will focus on developing and implementing strategic plans to effectively manage and utilize data within the organization. You will analyze business requirements, identify data needs, and define data governance frameworks. Your work will involve collaborating with stakeholders to align data initiatives with organizational goals, supporting the use of data to drive informed decision-making and support business growth.

Meaningful work you’ll be part of

As a Data Management and Strategy Senior Associate, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client service and operational efficiency. Responsibilities include but are not limited to:

• Help clients develop their data strategy program and subsequent initiatives to leverage data and analytics to meet their organizational goals.

• Define and measure data and analytics capabilities that span the data strategy lifecycle including data, technology, process, governance, talent, organizational structure and data-culture.

• Identify data governance needs and define roles and responsibilities associated with data ownership, stewardship and custodianship.

• Identify methodologies to execute on the data strategy and governance roadmap and approaches to support the change management required.

• Identify value creation opportunities, conducting jurisdictional scans, documenting case studies and leading practices as it relates to data strategy, data management, and analytics / reporting.

• Facilitate workshops and interview session with key client personnel.

• Review internal client company data such as strategy documents, policies and processes established, business plan, financial statements, payroll information, or architecture.

• Develop potential solution architecture and requirements for people, processes and technology to support business outcomes.

• Outline the scope of the work, identify and map out schedules, milestones, and required resources to meet the project objectives.

• Develop and carry out communications to the company's senior stakeholders, company staff, and internal and external project teams.

• Understand and relay key data and analytics concepts at a fundamental level, such as data strategy, data management, data governance, data reporting and visualization, analytics, artificial intelligence and machine learning.
• Coach and mentor junior members of the team.

Experiences and skills you’ll use to solve

• Background and experience in delivering data strategy and management programs with an understanding of industry-standards such as DAMA, CDQM, etc.

• Experience working within consulting firms or consulting industry.

• Bachelor's degree in business administration, engineering, computer science, finance, management, accounting, or science.

• Analytical, problem solving, and critical thinking skills: You will need to be able to absorb a great deal of information about the client's business, analyze the data and make clear and useful recommendations.

• Listening, verbal communication, and interpersonal skills: You will interact with many of the client's employees at various levels of the organization and must be able to do so with diplomacy and effective communication skills.

• Writing skills: You will be required to present work results in the form of reports, manuals, and other forms of documentation that require good writing skills.

• Time Management Skills: Since management consultants often either bill by the hour or work under a fixed-fee agreement, you must actively manage their time to keep within budget.

• Storytelling: Synthesizing vast amounts of information and creating a story about to share in a visually compelling manner.

• When applying to a Quebec based opportunity, fluency in French is required. Outside of Quebec, fluency in French is an asset

Why you’ll love PwC

We’re inspiring and empowering our people to change the world. Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $84,700 - $134,700. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Business Continuity, Cloud Architectures, Cloud Compliance, Cloud Infrastructure, Cloud Migration, Cloud Virtualization, Communication, Continuous Deployment, Continuous Integration/Continuous Delivery (CI/CD), Creativity, Data Infrastructure, DevOps Practices, Disaster Recovery, Embracing Change, Emotional Regulation, Empathy, Google Cloud Platform, Hardware Troubleshooting, Hybrid Cloud {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.

The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).