Executive Director, Optimization & Measurement, Targeting & Recommendation at Genentech
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

08 Dec, 25

Salary

422500.0

Posted On

08 Sep, 25

Experience

12 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Management Skills, Dashboards, Operational Efficiency, Product Strategy, Machine Learning, Customer Experience Design, Data Science, Segmentation, Customer Experience, Coaching, Change Management, Customer Satisfaction, Optimization, User Adoption

Industry

Marketing/Advertising/Sales

Description
Responsibilities
  • Define, and be accountable for executing, a strategic roadmap for the Optimization & Measurement and Targeting & Recommendation Product Suites, establishing and ensuring adherence to business product and technology policies and standards while collaborating with senior leadership and key stakeholders.
  • Set the strategic direction for the suite of Optimization & Measurement and Targeting & Recommendation products, aligning with organizational priorities to maximize business impact and deliver innovative, scalable solutions across the enterprise..
  • Partner with the Field Analytics team to streamline national/regional-level analytics (e.g., targeting and call planning optimization, next best action, sizing, field effectiveness analysis and performance reporting), and prioritize high-impact use cases for product suites.
  • Develop measurement and optimization product strategies and roadmap (e.g., campaign effectiveness, omnichannel engagement analytics, and marketing ROI optimization).
  • Partner with the Data Science team and deploy machine learning models and AI solutions to supercharge analytics products.
  • Partner with the Informatics (IX) team to define the roadmap and prioritize the development of analytics products.
  • Partner with the Digital Experience, Field Analytics, Field, and other functional teams to define and deploy business analytics products that optimize omnichannel customer engagement.
  • Define and oversee the full lifecycle strategy for the Optimization & Measurement and Targeting & Recommendation Suites from identifying and integrating new products to sunsetting legacy offerings, optimizing for suite performance and evolving marketing and business priorities.
  • Accountable for resource allocation and investments both in the near-term and long-term across the Optimization & Measurement and Targeting & Recommendation suites of business products; work with other Suite Leads to make resourcing tradeoff decisions across all Analytics product suites
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