Publié il y a 5 mois
Sr. Manager/ Associate Director - Analytics Consulting (Commercial Pharma)
@ Tiger Analytics Inc.
Toronto, Ontario
En bref
Tiger Analytics is hiring a senior analytics leader to drive commercial analytics for global pharmaceutical clients. The role bridges business stakeholders and technical teams, owns a product backlog, and leads a small cross-functional pod on Agile sprints. The posting requires 15+ years in pharma commercial analytics or data product management.
Responsabilités :
- Translate pharma business requirements into analytics solutions
- Own and prioritize the product backlog
- Define KPI governance and adoption tracking
- Design Snowflake-native data models with engineering
- Lead a cross-functional pod of data engineers and analysts
Résumé des exigences :
- 15+ years in commercial analytics or data product management in pharma
- Strong pharma commercial domain knowledge
- Experience with IQVIA, Veeva and patient-level datasets
- Strong SQL and cloud platform skills (Snowflake, Databricks, AWS, Azure, GCP)
- Power BI or Tableau expertise
- Agile delivery experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-06-19
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 15 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Tiger Analytics Inc.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Description complète de l’entreprise
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
- Abonnés LinkedIn
- 630 421
- Personnes associées sur LinkedIn
- 6 613
- Bureaux déclarés
- 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
- 111 Town Square Pl, Jersey City, New Jersey 07310, US
- 36 Robinson Rd, Singapore, Singapore 068877, SG
- 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
- 5151 Headquarters Dr, Plano, Texas 75024, US
- 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
- 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
- 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
- RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
- Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
- 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
- De Entree 252, Amsterdam, North Holland 1101 EE, NL
- Catégories d’activité
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Autres noms enregistrés
- Tiger Analytics
- Tiger Analytics Inc.
- Spécialités
- Machine Learning
- Predictive Analytics
- Forecasting
- Natural Language Processing
- Computer Vision
- Cloud Data Platform Engineering
- Data-as-a-service
- Lean Data Governance
- Modern BI & Data Warehousing
- AI/ML Ops
- ML Product Engineering
- Data Engineering
- Data Modernization
- and Generative AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 5,001-10,000 employees |
| Siège social | Santa Clara, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2011 |
| Spécialités | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Offres sur Jobsy | 81 |
| Voir la page |
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are seeking a Data and Analytics professional with deep Life Sciences and Commercial Pharma Analytics experience to lead strategic analytics initiatives for global pharmaceutical clients. This individual will serve as a bridge between business stakeholders and technical teams, driving the design and implementation of scalable commercial analytics solutions that enable data-driven decision-making across Sales, Marketing, Market Access, Patient Services, and Commercial Operations. The ideal candidate combines strong pharmaceutical domain expertise with experience managing analytics products, defining KPIs, translating business requirements into data solutions, and leading cross-functional teams.
Key Responsibilities
- Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
- Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
- Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
- Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
- Ensure strong Power BI semantic model understanding (measures, relationships, performance).
- Enable self-service analytics through well-designed datasets—not dashboards alone.
- Establish KPI governance, adoption tracking, and success metrics for the product.
- Lead a small cross-functional pod (data engineers, analysts).
- Operate in an agile delivery model with clear sprint outcomes and executive visibility.
- Act as the primary interface between business stakeholders and the technical team.
- 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
- Strong understanding of commercial pharmaceutical functions, including Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence.
- Experience working with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data.
- Experience supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness programs.
- Strong technical expertise in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience working in enterprise-scale analytics environments.
- Solid understanding of data product development, including data modelling, semantic layer design, KPI frameworks, and Agile delivery methodologies, with the ability to translate business requirements into scalable analytics solutions
- Proven experience owning product backlogs and driving roadmap execution.
- Ability to operate independently in greenfield / build-from-scratch environments.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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