Indegene
Data Manager, Omnichannel Data & Analytics
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Who are we?
Indegene is a global consultancy at the forefront of driving innovation in the Pharmaceutical and Life Sciences industry, through combining medical and commercial expertise with innovative digital and AI technologies.
We enable global healthcare organizations address complex challenges and drive better health and business outcomes by seamlessly integrating analytics, technology, operations, and medical expertise. Find out more at indegene.com
Job Type
6 months contract engagement.
Introduction / Purpose
The Data Manager, Omnichannel Data & Analytics, is the business owner for data requirements, data architecture and data management practices supporting omnichannel customer engagement and performance measurement.
The role will establish and maintain a clear business view of the data needed to support customer engagement, campaign measurement, reporting and optimization. It will translate business needs into actionable requirements for development and data integration teams, with particular focus on Veeva capability, data structures and the reliable integration of customer, engagement and activity data across connected platforms.
The role combines business data architecture, functional oversight and analytics leadership. It does not require hands on engineering or line management responsibility. The Data Manager will partner closely with IT and delivery teams on technical design, security, architecture and implementation, while ensuring that business definitions, data quality, lineage, compliance requirements and acceptance criteria are clear and consistently applied.
Essential Responsibilities
Business Data Architecture
- Own and maintain business data requirements for omnichannel customer engagement, measurement, reporting and optimization.
- Define and maintain conceptual and logical data models that describe key business entities, identifiers, relationships and data flows.
- Establish clear business definitions for data used in omnichannel activity, reporting, KPIs and decision-making.
- Develop and maintain source to target mappings, business rules, data lineage and documentation for relevant data domains.
- Define requirements for master and reference data, including the consistent use of identifiers, hierarchies, relationships and approved reference values.
- Ensure data requirements support the measurement of digital, marketing/medical CRM, field engagement, media, social media and other relevant customer engagement activity.
- Identify architecture dependencies, data gaps and risks early, and recommend practical options that support business priorities and delivery outcomes.
- Create scalable, reusable data and reporting foundations that can support multiple brands, programmes or customer engagement initiatives as applicable.
Veeva Data Capability
- Apply strong practical knowledge of Veeva CRM capabilities relevant to the deployed platform, without assuming a specific Veeva product or legacy configuration.
- Guide the business use and integration of primarily Veeva data, but also additional sources such as On24 data and Matomo
- Define and validate the business rules governing identifiers, relationships and record usage across Veeva and other platforms.
- Ensure Veeva-related requirements are sufficiently detailed for development and data integration teams to design, build, test and support solutions effectively.
- Review proposed functional designs and data mappings to confirm that they reflect business processes, Veeva configuration, data relationships and reporting needs.
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Development and Data Integration Oversight
- Translate business data architecture and operational requirements into clear user stories, functional requirements, source-to-target mappings and testable acceptance criteria.
- Guide and prioritise the data related backlog with development and data integration teams, balancing business value, data quality, operational needs and delivery dependencies.
- Provide functional oversight of development and integration work; review designs, clarifications and delivery outputs against agreed business requirements.
- Partner with IT on technical architecture, data security, access controls, integration design and delivery planning.
- Confirm that data outputs meet agreed acceptance criteria before release, including completeness, accuracy, relationship integrity, business-rule adherence and usability for reporting.
- Ensure business architecture decisions, mappings, process documentation and release artefacts remain current and accessible.
Data Quality and Governance
- Define, monitor and improve data quality requirements for key omnichannel customer engagement data.
- Establish practical data quality controls, including completeness, consistency, timeliness, validity, reconciliation and relationship integrity.
- Identify root causes of recurring data-quality issues and coordinate resolution with accountable business, IT, development, integration and external partners.
- Support compliant use of HCP and patient data by applying agreed privacy, consent, purpose-limitation and quality requirements in partnership with accountable compliance, legal, privacy and other relevant functions.
- Ensure access and use of data follows applicable company and local compliance requirements; this role supports implementation and operational adherence and does not hold sole legal ownership.
- Promote consistent data standards, definitions and governance practices across omnichannel initiatives.
Analytics and Optimization
- Develop and maintain a robust, scalable reporting framework for digital and omnichannel performance.
- Define adaptable KPI and benchmarking frameworks with business stakeholders to measure relevant digital and customer engagement tactics.
- With Global Omnichannel leads, analyse data and translate findings into clear insights and practical optimization recommendations for omnichannel and brand stakeholders.
- Create and maintain visualisations, dashboards and reporting outputs that make data understandable and actionable.
- Identify opportunities to centralise analytics practices, streamline processes and improve the efficiency, reliability and reuse of reporting and data-management activities.
Stakeholder and Partner Management
- Act as a strategic business partner to Omnichannel Customer Engagement, brand, field, Insights and Analytics, IT and other relevant stakeholders.
- Communicate data requirements, decisions, risks, trade-offs and delivery status clearly to both business and technical audiences.
- Facilitate alignment across stakeholders on KPI definitions, data priorities, process changes and release decisions.
- Manage external reporting, analytics or delivery partners as applicable, ensuring deliverables meet agreed requirements, quality standards and timelines.
- Influence decisions without direct authority and provide a clear path forward in ambiguous or complex situations.
- Promote operational excellence by identifying opportunities to improve processes, reduce rework and strengthen data-enabled decision-making.
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Personal Attributes
- Strategic, analytical and commercially minded, with the ability to connect business outcomes to data requirements and architecture decisions.
- Confident working across business and technical teams, translating complex data concepts into clear, practical language.
- Strong collaborator with the ability to influence change without formal authority.
- Structured, detail oriented and comfortable managing multiple priorities in a matrixed environment.
- Curious and solutions oriented, with sound judgement in resolving complex data and process issues.
- Clear and credible communicator with strong presentation and stakeholder-management skills.
- Comfortable operating in ambiguity while creating clarity, decisions and actionable next steps.
Required Qualifications
- 7+ years of relevant experience in data management, data architecture, digital marketing analytics, omnichannel analytics, media analytics or related roles.
- Demonstrated experience defining business data requirements, data models, data mappings, business rules, data lineage and data-quality requirements.
- Strong practical expertise in Veeva CRM applicable to the deployed platform, including a clear understanding of relational objects, data structures, configuration dependencies, identifiers, relationships, approved interfaces and access controls.
- Experience guiding business requirements and functional delivery for integrations involving customer, account, engagement or activity data.
- Experience working with business data architecture, data warehousing (Fabric) and business intelligence concepts.
- Experience developing KPI frameworks, measurement requirements, dashboards and actionable performance insights.
- Ability to translate data and analytical findings into recommendations for omnichannel teams, business stakeholders and senior leadership.
- Experience in biotechnology, pharmaceuticals or an organisation supporting the biotechnology or pharmaceutical industry.
- Strong analytical, problem-solving and prioritisation skills.
Additional Information
This role provides business architecture and functional oversight for data and integration delivery. It is not intended to be a hands-on engineering role.
The role will partner with IT and relevant technical teams on technical design, security, architecture and delivery.
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