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Dentons

Senior Manager, Pricing Data & AI Enablement (6 Month Contract)

Toronto, ON, Canada
Ottawa, ON, Canada
Montreal, QC, Canada
Vancouver, BC, Canada
Edmonton, AB, Canada
Calgary, AB, Canada

Pay: The target salary range for this position is $140,000 – $160,000, commensurate with the successful candidate’s skills, experience, and qualifications.
Experience: 5+ years of experience in data analytics, data management, legal operations, financial analytics, pricing, business intelligence or a related field.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Dentons is designed to be different. Our firm leads the way in a rapidly changing legal marketplace. We challenge the status quo and deliver consistent results as well as uncompromising quality and value to our clients. Our global presence is renowned as a firm with over 21,000 individuals in more than 200 offices serving clients across 80+ countries.

Dentons Canada is committed to its people and communities. We are consistently recognized as an employer of choice having received numerous awards including being selected as one of Canada’s Top 100 Employers (2026); Canada’s Top Employers for Young People (2026), and Canada’s Best Diversity Employers (2026).

This role is an opportunity for you to join Canada's global law firm, a firm that offers opportunities to build your career while growing your skills and deepening your expertise.

POSITION SUMMARY

This is a 6 month contract opportunity for an existing vacancy.

We are seeking a Senior Manager, Pricing Data & AI Enablement for a 6-month contract (with an option to mutually extend) to strengthen the quality, structure and usability of our historical matter data, and to improve the firm's ability to price legal work using reliable, evidence-based insights.

Working within the Pricing & Legal Project Management function, this role will lead a focused initiative to identify, clean, enrich and structure matter data using a combination of artificial intelligence, automation and traditional data-quality techniques.

The successful candidate will work at the intersection of pricing, legal operations, data and AI, transforming historical matter information into a more reliable dataset that supports pricing decisions, matter scoping, benchmarking, budgeting and future analytical capabilities.

This is a hands-on role. The successful candidate should be equally comfortable understanding the business problem, working directly with large datasets, applying AI-enabled tools and collaborating with stakeholders to validate results.

RESPONSIBILITIES

Matter Data Improvement

Assess the quality, completeness and consistency of historical matter data across relevant firm systems.
Identify gaps and inconsistencies that limit the firm's ability to analyze comparable matters and develop reliable pricing benchmarks.
Develop and execute a structured approach to cleaning, normalizing and enriching historical matter data.
Establish consistent matter classifications, attributes and taxonomies that improve the identification of comparable matters.
Work with the Pricing & Legal Project Management team to determine which matter characteristics matter most for pricing and analysis.
Develop processes for identifying and resolving duplicate, incomplete, anomalous or incorrectly classified data.

AI & Automation

Identify opportunities to use generative AI, machine learning and automation to accelerate the classification and enrichment of matter data.
Use AI-enabled techniques to extract structured information from unstructured matter descriptions and other available sources.
Develop repeatable workflows for matter categorization, data enrichment and quality assurance.
Design appropriate human-validation processes to ensure AI-generated classifications and outputs are accurate and reliable.
Evaluate AI tools and approaches based on accuracy, scalability, security and practical business value.
Document methodologies, prompts, rules and validation processes so successful approaches can be replicated after the contract concludes.

Pricing & Analytics Enablement

Partner closely with Pricing & Legal Project Management to translate pricing requirements into usable data structures.
Improve the firm's ability to identify relevant historical matters when pricing new engagements.
Support the development of matter benchmarks, including fees, hours, staffing, leverage and other relevant pricing metrics.
Help establish datasets that can support future pricing models, budgeting tools and matter profitability analytics.
Identify patterns in historical matters that provide useful insight into matter cost, staffing and delivery.
Support the creation of a foundation for AI-assisted matter scoping and pricing.

Data Governance & Sustainability

Recommend standards for matter data capture that improve the quality of information collected going forward.
Develop practical controls and validation rules that reduce future data-quality issues.
Document data definitions, taxonomies and transformation logic.
Work with Finance, Technology, Innovation and other stakeholders to ensure solutions align with the firm's broader data architecture and governance requirements.
Develop a transition plan so processes established during the engagement can be sustained by the firm.

REQUIREMENTS

5+ years of experience in data analytics, data management, legal operations, financial analytics, pricing, business intelligence or a related field.
Demonstrated experience cleaning, transforming and working with complex enterprise datasets.
Strong practical experience using AI, generative AI or machine-learning tools to solve business problems.
Experience developing repeatable AI-enabled workflows rather than relying exclusively on manual data remediation.
Strong proficiency with data-analysis tools such as SQL, Python, Power BI, Alteryx or similar technologies.
Experience with APIs, data transformation tools or automation platforms (an asset).
Strong analytical and problem-solving capabilities.
The ability to translate business requirements into structured data and analytical solutions.
Excellent attention to detail and a strong understanding of data validation and quality assurance.
Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
Experience within a law firm, professional services organization or other matter/project-based business would be a significant asset, particularly experience with legal financial, time-entry, billing or matter-management data.

Preferred Qualifications

• CPA, CFA, MBA, or equivalent professional designation

Working knowledge of French considered an asset

Familiarity with legal project management methodologies

Prior client-facing experience with corporate procurement, legal operations, or in-house counsel teams

SQL or other data query skills.

We thank all applicants for their interest, however, only those selected for an interview will be contacted.

The target salary range for this position is $140,000 – $160,000, commensurate with the successful candidate’s skills, experience, and qualifications. Dentons is committed to equitable and competitive compensation. This target range falls within our internal salary ranges, which are based on comparable roles in the external market. We strive to hire, promote, and transfer individuals at the entry point of the range, with consideration given to prior experience, relevant skills, and market conditions.

We recognize that rewarding exceptional talent goes beyond salary. Our comprehensive total rewards package includes inclusive and flexible benefits that support the wellbeing and development of our people. This includes extended health and mental health benefits, paid time off, retirement savings plans, a fitness subsidy, parental leave top-up, and more.

In addition, our learning and development programs - such as mentorship opportunities, employee networks, and leadership development initiatives - are designed to support personal and professional growth.

At Dentons, all candidate screening, assessment, and hiring decisions are made by people. From time to time, we use AI-enabled tools to assist in enhancing our recruitment process and materials; however, these tools do not screen candidates or make hiring decisions.

Note: Availability of benefits and programs may vary depending on your location and employment type and may be subject to eligibility criteria. Dentons reserves the right to modify or discontinue offerings, in whole or in part, at its discretion and without prior notice.

Equal Opportunity Statement

Dentons Canada is an equal opportunity employer, and we welcome your application. All employment decisions, including hiring, will be made without regard to age, ancestry, citizenship, colour, creed, disability, ethnic origin, family status, gender identity, marital status, place of origin, race, sexual orientation, or any other characteristic protected by applicable human rights legislation.

We are committed to providing you with an inclusive, barrier-free, and accessible workplace to support your success. Should you require accommodation during the recruitment process, for example as a result of a disability, please contact us at careers.canada@dentons.com.

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More about this job

Responsibilities

The Senior Manager will lead initiatives to clean, structure, and enrich historical matter data using AI and automation to improve pricing accuracy. They will collaborate with stakeholders to establish data governance standards and develop repeatable workflows for matter scoping and benchmarking.

Requirements

Candidates must have 5+ years of experience in data analytics, legal operations, or financial analytics with strong proficiency in SQL, Python, and AI tools. A professional designation such as a CPA, CFA, or MBA is preferred, along with experience in professional services or law firm environments.

Skills

Data analytics
Data management
Legal operations
Financial analytics
Pricing strategy
Business intelligence
Generative AI
Machine learning
Automation
SQL
Python
Power BI
Alteryx
Data governance
Data quality assurance
Project management

Benefits

Extended health benefits
Mental health benefits
Paid time off
Retirement savings plans
Fitness subsidy
Parental leave top-up
Mentorship opportunities
Leadership development initiatives

Visa sponsorship

Not detected in the job text

Keywords

Data analytics
Data management
Legal operations
Financial analytics
Pricing
Business intelligence
Generative AI
Machine learning
Automation
SQL
Python
Power BI
Alteryx
Data governance
Data quality
Taxonomy
Benchmarking
Matter management
CPA
CFA
MBA
Legal project management
Data architecture
Workflow design
Stakeholder management
Predictive analytics
Data normalization
API
Quality assurance
Professional services

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