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Takeda

Data Excellence Manager

Toronto, ON, Canada
CAN - Toronto Head Office, Canada

$115,000.00 - $158,400.00 · Full-time

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Job details

Pay: $115,000.00 - $158,400.00
Job type: Full-time
Experience: 5-7 years of experience in data management, data governance, data integration, or related disciplines.
Posting language: English
Posted: Jul 8, 2026

Original job description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Title: Data Excellence Manager

Location: Toronto, Canada

About the role:

As the Data Excellence Manager, you will enable Takeda Canada’s data-driven decisions by ensuring critical local data is trusted, usable, and aligned with enterprise standards. You will strengthen the foundation for analytics, reporting, and data products by improving data quality, stewardship, and interoperability across the LOC. You will be a hands-on leader, the role helps translate data into scalable business value for Canada.

Reporting Manager: Head of DD&T, Canada

How will you contribute:

Serve as strategic business partner for data excellence. Collaborate with cross-functional partners (commercial, medical, access, PSP) and IBU to assess, prioritize, and implement new data use cases that enable value realization. Coordinate with vendors and cross-functional partners to ensure data sourcing meets LOC needs. When assessing new use cases, apply the LOC’s shared requirements-discovery method to confirm the underlying problem (data, process, or technology) before committing to a data solution, partnering with the Data Products Manager and the Tech & AI Partner’s intake (‘front door’).

Own and execute the LOC data roadmap. Continuously assess the state of data and insight needs in Canada, maintain a prioritized backlog of data tasks (integrations, quality fixes, new data sources), execute against it, and provide transparent progress updates to stakeholders. Ensure data standards and integrations support campaign execution, monitoring, and performance measurement aligned with global and IBU frameworks.

Lead data stewardship, governance, and documentation. Perform hands-on stewardship activities: data owner/steward touchpoints, dataset reviews, and issue triage. Lead Master Data Management implementation and validation (e.g., HCP/HCO master data). Apply and maintain global data standards locally - align field names/values to global definitions, maintain mapping tables, and document exceptions. Create and maintain data dictionaries, lineage notes, business rules, and usage guidance so analysts and product teams can confidently consume data.

Drive data quality monitoring and remediation. Operate recurring data quality checks (completeness, accuracy, consistency, timeliness), identify root causes with source system SMEs, and implement fixes - ensuring critical datasets are reliable and fit for purpose.

Execute data integration, ingestion, and always-on customer data flow into CDP. Perform or directly drive the practical steps to onboard data sources into EDB and enable reliable downstream flow e.g. into CDP: source profiling, extraction requirements, transformation logic, validation rules, deduplication, consent-compliance controls, and publishing steps. Ensure customer data is unified, quality-checked, and continuously flowing to support activation, analytics, and business execution. Partner with the CRM/CXF Manager on TakedaConnect migration into CXF, ensuring continuity of customer journey capabilities. Partner with ICC/GCM delivery teams to ensure scalable, standardized delivery.

Serve as a hands-on data ambassador. Raise data fluency and governance capabilities across the LOC through practical enablement: training sessions, office hours, playbooks, and worked examples that improve how teams request, interpret, and use data - building confidence and consistency.

What you bring to Takeda:

University degree in a relevant field such as data management, information systems, computer science, analytics, business, or a related discipline.

5-7 years of experience in data management, data governance, data integration, or related disciplines.

Demonstrates a growth mindset, with openness to feedback, continuous learning, and adapting quickly in a changing business and technology environment.

Hands-on experience with regulated data domains (e.g., HCP/HCO, PSP, consented customer data, financial data) in a pharmaceutical or regulated industry context.

Working knowledge of SQL, data platforms (e.g., Databricks), BI tools (e.g., Power BI), ETL processes, and data modelling.

Strong understanding of Master Data Management, data quality frameworks, and data governance principles.

Familiarity with pharmaceutical data ecosystems, compliance, privacy, and audit requirements.

Experience with Agile delivery methodologies and backlog management.

Excellent communication skills with the ability to translate between technical and non-technical language and drive cross-functional alignment.
Detail-oriented and quality-driven - takes pride in ensuring data is accurate, well-documented, and fit for purpose.

Proactively identifies and resolves data issues before they impact downstream products and decisions.

Bridge technical data work with business context - communicates data governance concepts in language stakeholders understand and value.

Build trust through transparency: keeps stakeholders informed on data status, roadmap progress, and known limitations.

This job posting is for a new role.

Takeda may use additional Talent Acquisition technologies and artificial intelligence to support the recruitment process, including video interviewing. Artificial intelligence will be used to support, but not solely determine, applicability for a specific position.

Takeda Canada encourages applications from all qualified candidates. In accordance with our accommodation policies and applicable provincial accessibility legislation, please advise us if you need accommodation in order to participate in the recruitment process. Any information you provide relating to accommodation will be addressed confidentially.

Locations

Toronto, Canada

Base Salary Range:

$115,000.00 - $158,400.00

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Canada based employees may be eligible for a comprehensive range of benefits and incentives. Benefit eligibility varies by position and can include, amongst others:

short-term and/or long-term incentives
subsidies for fitness and internet
medical, dental, and vision insurance
basic life and accidental death and dismemberment (AD&D) insurance
participation in the Registered Retirement Savings Plan (RRSP); company match into a Deferred Profit-Sharing Plan (DPSP) (if eligible)
short-term and long-term disability coverage
annual vacation entitlement; additional paid time off and company holidays
a tuition reimbursement program
a variety of well-being benefits

Les collaborateurs basés au Canada peuvent, selon leurs postes, bénéficier d’un ensemble complet d’avantages sociaux. L’éligibilité à ces avantages varie selon le poste, et peut inclure:

des primes ou dispositifs d’intéressement à court et/ou long terme,
des subventions pour les abonnements sportifs et abonnements internet
une assurance santé incluant la prise en charge des frais médicaux, dentaires et optiques
une assurance vie de base ainsi qu’un assurance en cas de décès ou de mutilation accidentels (AD&D)
une participation au Régime enregistré d’épargne-retraite (REER) ; contribution équivalente de l’entreprise dans un régime de participation différée aux bénéfices (RPDB) (si admissible)
une couverture en cas d’incapacité de travail temporaire ou prolongée
un droit à congés payés annuels, avec jours de vacances, jours de récupération et jours fériés spécifiques à l’entreprise
un programme de remboursement des frais de scolarité
une variété d’avantages liés au bien-être

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

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More about this job

Responsibilities

The Data Excellence Manager will lead data stewardship and governance initiatives to ensure high-quality, usable data for Takeda Canada's analytics and business products. They will act as a strategic partner to cross-functional teams, managing the data roadmap and driving the integration of customer data into enterprise platforms.

Requirements

Candidates must possess a university degree in a relevant field and 5-7 years of experience in data management or governance within a regulated industry. Proficiency in SQL, data platforms like Databricks, and BI tools is required, along with strong communication skills to bridge technical and business needs.

Skills

Data management
Data governance
Data integration
SQL
Databricks
Power BI
ETL processes
Data modelling
Master data management
Data quality
Agile delivery
Backlog management
Pharmaceutical data ecosystems
Compliance
Data stewardship
Cross-functional leadership

Benefits

Health insurance
Dental insurance
Vision insurance
Life insurance
Accidental death and dismemberment insurance
Deferred profit-sharing plan
Short-term disability coverage
Long-term disability coverage
Annual vacation
Tuition reimbursement
Fitness subsidies
Internet subsidies

Visa sponsorship

Not detected in the job text

Keywords

Data Excellence
Data Governance
Data Stewardship
Master Data Management
Databricks
Power BI
SQL
ETL
Agile
Pharmaceutical
Data Quality
Data Integration
Compliance
Data Modelling
Customer Data Platform
HCP/HCO
Data Dictionary
Data Lineage
Business Intelligence
Analytics
Backlog Management
Data Fluency
Cross-functional Collaboration
Regulated Industry
Data Roadmap
Data Products
Interoperability
Data Sourcing
CRM
CXF

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