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Novo Nordisk

Associate Director Omnichannel Analytics Enablement Strategy

Plainsboro, NJPosted 5 days ago

Job Description

  • Omnichannel CX Data Strategy Leadership: Lead the execution and continuous optimization of an enterprise‑grade CX Product Analytics data strategy across HCP and patient experiences. Ensure the strategy is tightly aligned to organizational priorities, key business questions, and personalization objectives to drive informed, data‑led decision‑making. Own the end‑to‑end CX data ecosystem including data acquisition, architecture, governance, processing, and activation—to enable scalable insights and consistent customer engagement. Proactively evolve the data strategy to incorporate emerging business needs, technologies, and analytics capabilities, ensuring long‑term relevance and impact
  • Analytics Solution Design & Strategic Enablement: Lead cross‑functional web and campaign tracking initiatives, translating business objectives into scalable product analytics solution designs and implementation roadmaps. Develop strategic analytics plans that align with enterprise priorities and stakeholder key business questions (KBQs), proactively identifying measurement and activation approaches that drive tangible outcomes—such as increased CRM enrollment, enhanced content engagement, and improved conversion across digital and offline touchpoints. Ensure solutions are outcome‑focused, technically sound, and optimized to support sustained performance measurement and optimization
  • Stakeholder Discovery & Alignment: Facilitate collaborative stakeholder workshops to surface and priorities key business questions, aligning cross‑functional perspectives into clear, outcome‑driven analytics requirements. Translate business needs into well‑defined technical inputs for analytics and engineering teams, ensuring analytics solutions are purpose‑built to enable meaningful measurement, insight generation, and optimization across digital experiences
  • Omnichannel Campaign Taxonomy & Enablement: Lead the development and governance of a standardized omnichannel campaign taxonomy and self‑service tracking request capability to ensure consistent, high‑quality data capture across promotional channels. Act as product owner for the solution, driving adoption and disciplined use across internal teams and external partners through structured onboarding, enablement, and ongoing review cycles. Continuously refine taxonomy and tracking standards to strengthen data integrity and unlock scalable, actionable insights that power optimization, measurement, and decision‑making across the organization
  • Analytics Socialization & Democratization: Design, operationalize, and sustain scalable solution validation playbooks and dashboards that enable consistent, confident data consumption across stakeholders and analysts. Drive organizational fluency in solution design and analytics best practices, accelerating the translation of data into actionable insights and optimization strategies. Ensure reporting standards and validation frameworks actively reinforce data trust, usability, and decision impact. Host cadenced product analytics office hours to democratize the solution and address key business questions to drive adoption of the product analytics solution
  • Cross‑Functional Product Analytics Enablement: Partner closely with IT engineering teams and analytics subject‑matter experts to co‑design and deliver a robust omnichannel product analytics data foundation. Establish and enforce data quality, integrity, and validation standards to ensure trusted, decision‑ready insights. Lead the development of an end‑to‑end governance framework that guides the build, evolution, and sustainment of a scalable product analytics ecosystem across the full customer journey—integrating promotional sales and marketing exposure data, channel flighting, digital engagement and conversion signals, audience tokenization, and measurable offline impact
  • Data Usability & Transparency Enablement: Establish and maintain enterprise‑grade data usability artefacts, including a comprehensive business and analytics lexicon and solution design references that clearly define data elements, attributes, and relationships. Ensure these assets are easily accessible, trusted, and continuously refreshed to reflect the evolving data ecosystem. Create intuitive visual data maps that illustrate cross‑platform data flows and technology interdependencies, enabling stakeholders to confidently interpret insights, accelerate adoption, and support scalable, data‑driven decision‑making
  • Analytics Validation & Solution Integrity: Lead ongoing landscape assessments to ensure the integrity, reliability, and completeness of website and campaign analytics solutions. Oversee systematic data validation, tagging audits, and platform‑level monitoring and alerting to proactively identify risks, anomalies, and degradation in measurement. Ensure analytics implementations remain trusted, enterprise‑ready, and fit‑for‑purpose to support accurate performance assessment and optimization decisions
  • Continuous Education & Capability Advancement: Champion a continuous education strategy that builds omnichannel analytics capability and Agentic AI future ready skills across the team. Proactively monitor industry trends, emerging technologies, and best practices, translating external learning into targeted upskilling, thought leadership, and practical application within the omnichannel data strategy. This role identifies and sponsors high impact learning and innovation initiatives ensuring new approaches are deliberately tested, operationalized, and scaled to improve business performance, customer experience outcomes, and operational efficiency. By focusing team effort on high value learning and application, this strategy accelerates organizational maturity while sustaining a competitive edge
  • Privacy‑by‑Design & Regulatory Compliance: Partner proactively with Legal, Privacy, and Compliance teams to embed privacy‑by‑design principles across all analytics and measurement solutions. Ensure tracking strategies, consent frameworks, and data collection practices remain continuously aligned with evolving data privacy and cookie consent regulations inclusive of internal governance standards. Provide strategic guidance to balance compliant data capture with meaningful measurement, safeguarding customer trust while enabling responsible insights and activation
  • Analytics Socialization & Democratization: Design, operationalize, and sustain scalable solution validation playbooks and dashboards that enable consistent, confident data consumption across stakeholders and analysts. Drive organizational fluency in solution design and analytics best practices, accelerating the translation of data into actionable insights and optimization strategies. Ensure reporting standards and validation frameworks actively reinforce data trust, usability, and decision impact. Host cadenced product analytics office hours to democratize the solution and address key business questions to drive adoption of the product analytics solution
  • Cross‑Functional Product Analytics Enablement: Partner closely with IT engineering teams and analytics subject‑matter experts to co‑design and deliver a robust omnichannel product analytics data foundation. Establish and enforce data quality, integrity, and validation standards to ensure trusted, decision‑ready insights. Lead the development of an end‑to‑end governance framework that guides the build, evolution, and sustainment of a scalable product analytics ecosystem across the full customer journey—integrating promotional sales and marketing exposure data, channel flighting, digital engagement and conversion signals, audience tokenization, and measurable offline impact
  • Data Usability & Transparency Enablement: Establish and maintain enterprise‑grade data usability artefacts, including a comprehensive business and analytics lexicon and solution design references that clearly define data elements, attributes, and relationships. Ensure these assets are easily accessible, trusted, and continuously refreshed to reflect the evolving data ecosystem. Create intuitive visual data maps that illustrate cross‑platform data flows and technology interdependencies, enabling stakeholders to confidently interpret insights, accelerate adoption, and support scalable, data‑driven decision‑making.
  • Analytics Validation & Solution Integrity: Lead ongoing landscape assessments to ensure the integrity, reliability, and completeness of website and campaign analytics solutions. Oversee systematic data validation, tagging audits, and platform‑level monitoring and alerting to proactively identify risks, anomalies, and degradation in measurement. Ensure analytics implementations remain trusted, enterprise‑ready, and fit‑for‑purpose to support accurate performance assessment and optimization decisions.
  • Continuous Education & Capability Advancement: Champion a continuous education strategy that builds omnichannel analytics capability and Agentic AI future‑ready skills across the team. Proactively monitor industry trends, emerging technologies, and best practices, translating external learning into targeted upskilling, thought leadership, and practical application within the omnichannel data strategy. This role identifies and sponsors high‑impact learning and innovation initiatives—ensuring new approaches are deliberately tested, operationalized, and scaled to improve business performance, customer experience outcomes, and operational efficiency. By focusing team effort on high‑value learning and application, this strategy accelerates organizational maturity while sustaining a competitive edge.
  • Privacy‑by‑Design & Regulatory Compliance: Partner proactively with Legal, Privacy, and Compliance teams to embed privacy‑by‑design principles across all analytics and measurement solutions. Ensure tracking strategies, consent frameworks, and data collection practices remain continuously aligned with evolving data privacy and cookie consent regulations inclusive of internal governance standards. Provide strategic guidance to balance compliant data capture with meaningful measurement, safeguarding customer trust while enabling responsible insights and activation.
  • Analytics Socialization & Democratization: Design, operationalize, and sustain scalable solution validation playbooks and dashboards that enable consistent, confident data consumption across stakeholders and analysts. Drive organizational fluency in solution design and analytics best practices, accelerating the translation of data into actionable insights and optimization strategies. Ensure reporting standards and validation frameworks actively reinforce data trust, usability, and decision impact. Host cadenced product analytics office hours to democratize the solution and address key business questions to drive adoption of the product analytics solution.
  • Cross‑Functional Product Analytics Enablement: Partner closely with IT engineering teams and analytics subject‑matter experts to co‑design and deliver a robust omnichannel product analytics data foundation. Establish and enforce data quality, integrity, and validation standards to ensure trusted, decision‑ready insights. Lead the development of an end‑to‑end governance framework that guides the build, evolution, and sustainment of a scalable product analytics ecosystem across the full customer journey—integrating promotional sales and marketing exposure data, channel flighting, digital engagement and conversion signals, audience tokenization, and measurable offline impact.
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    Pharmaceuticals
    10001+ employees
    Bagsværd, DK
    Website
    Associate Director Omnichannel Analytics Enablement Strategy at Novo Nordisk | Renata