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Enterprise Data Product Manager

Salary

$0.151k - $0.151k

Min Experience

7 years

Location

Bengaluru, Karnataka

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bengaluru, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda's ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. As the EnterpriseData Product Manager at Takeda, you will be responsible for managing the strategy, development, and optimization of commercial data products, including RWD (Real World Data) data products that drive business insights, sales effectiveness, and market strategies. You will own the product lifecycle for multiple data solutions that support Takeda's commercial data operations, including data assets for customer, product, payer/plan, claims, sales, marketing, and customer engagement etc. Working closely with cross-functional teams such as Commercial Operations, Sales and Brand, Marketing, Insight and Analytics (I&A), Data Science, and IT, you will ensure that data products provide actionable insights to maximize business value and improve decision-making. Our Enterprise Data Backbone (EDB) is built on a trusted data marketplace experience and will be key to accelerating data availability to our business partners. Key Responsibilities: Enterprise Data Product Vision & Strategy: Define and execute the vision and strategy for Takeda's commercial data products, ensuring alignment with business objectives in sales, marketing, and customer engagement. Lead Commercial data products internalization and building Community of Practice (CoP). Data Integration & Management: Oversee the integration of commercial data from multiple sources, including CRM systems, sales performance data, marketing analytics, and external data providers & RWD, ensuring accuracy, consistency, and accessibility across the organization. Roadmap Development: Develop and manage a comprehensive product roadmap that prioritizes features based on business impact, user needs, and technical feasibility. Ensure the roadmap supports commercial goals and drives data-driven decision-making. Cross-Functional Collaboration: Work closely with stakeholders from Commercial Operations, Sales, Marketing, Data Science, and IT to gather requirements and define data needs, ensuring alignment with business objectives. Delivery Excellence: Work closely with various Takeda Business, IT, delivery stakeholders to define and deliver the initiatives based on agreed scope and design. Data Governance & Compliance: Ensure that all commercial data products adhere to internal governance frameworks and external regulations (e.g., GDPR, CCPA). Implement best practices for data privacy and security, especially regarding customer data. End-to-End Data Flow: Map out the end-to-end data flow across commercial, marketing and patient analytics platforms, ensuring seamless integration with internal systems (e.g., CRM, marketing platforms) and external partners (IQVIA/KOMODO), enabling a unified view of sales and marketing performance. Analytics & Insights: Collaborate with Data Science and Analytics teams to develop reporting tools and dashboards that provide actionable insights into sales trends, marketing effectiveness, customer behavior, and market performance. Vendor Management: Manage relationships with third-party data providers and technology vendors to ensure timely delivery, data quality, and adherence to service level agreements (SLAs). Process Improvement: Identify opportunities to enhance commercial data processes, including data collection, validation, and analysis. Implement solutions to improve the efficiency and accuracy of sales and marketing data reporting. Data Quality & Security: Ensure the highest standards of data quality and security, implementing data validation processes and monitoring systems to safeguard sensitive commercial and customer information. Market Insights & Competitor Analysis: Leverage commercial data to provide market insights, competitor analysis, and business intelligence, supporting strategic decision-making and helping Takeda stay ahead in the competitive landscape. User Experience: Enhance the user experience for sales and marketing teams by providing easy access to real-time data and insights through intuitive dashboards and self-service analytics tools. Stakeholder Engagement: Act as the primary advocate for commercial data products, ensuring alignment between stakeholders, including Sales, Marketing, and IT, and facilitating ongoing feedback to improve the products. Qualifications: Education: Bachelor's degree in Data Science, Business, Marketing, or a related field. Master's degree preferred. Experience: 7+ years of experience in product ownership, data management, or commercial operations within the pharmaceutical, healthcare, or biotechnology industry. Proven experience with commercial data products development utilizing data from commercial platform (e.g., CRM – Salesforce, sales performance, marketing analytics) and external data vendors (IQVIA/Komodo/ Symphony) and managing large-scale data integration projects. Proven experience of specialty pharmacy datasets and specialty data aggregation concepts. Strong experience with sales and marketing processes and their data needs. Strong understanding of claims data set and patient insights and analytics. In-depth knowledge of overall commercial and marketing domain and data sets including customer, product, payer/plan, affiliations, supplier, personal and non-personal promotions, speaker programs etc. Omnichannel experience: channel insights and performance and customer insights. Skills & Competencies: Expertise in data management, data integration, and governance in a commercial context. Good technical knowledge of AWS, data bricks, MDM Platforms, Data Engineering tools and data quality tools. Strong knowledge of data analytics and visualization tools (e.g., Tableau, Power BI, SAS). Experience with cloud computing platforms (e.g., AWS, Azure) and database systems. Excellent project management and organizational skills, with experience working in Agile or Scrum environments. Strong communication and interpersonal skills to collaborate effectively across business functions and technical teams. Preferred Knowledge: Familiarity with CRM platforms (e.g., Salesforce, Veeva) and marketing automation tools. Experience with predictive analytics, machine learning, or AI applications in sales and marketing. Knowledge of the pharmaceutical industry and commercial operations, including market access, pricing, and sales force effectiveness.

About the company

At Takeda, we are guided by our purpose of creating better health for people and a brighter future for the world. Every corporate function plays a role in making sure we — as a Takeda team — can discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet. People join Takeda because they share in our purpose. And they stay because we're committed to an inclusive, safe and empowering work environment that offers exceptional experiences and opportunities for everyone to pursue their own ambitions.

Skills

data management
data integration
data governance
aws
data bricks
mdm platforms
data engineering
data quality
data analytics
data visualization
tableau
power bi
sas
cloud computing
aws
azure
database
project management
agile
scrum
communication
crm
salesforce
veeva
marketing automation
predictive analytics
machine learning
ai
sales
marketing
market access
pricing
sales force