The Economist Group - Head of Insights & Decision Science - B2C
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Requirements
• Proven leadership: Extensive experience of leading high-performing insight or data science teams in complex, data-rich B2C environments. • Commercial orientation: Pragmatic and commercial mindset that focuses on commercial urgency/materiality and that takes personal ownership and agency for commercial outcomes • Transformation & excellence: Demonstrable record of creating a culture of excellence, learning and innovation in an insight, data science or research function - in addition to a track record of developing outstanding talent pipelines and successors • Machine learning & AI: Experience of collaborating effectively with Data Science teams. Experience of upskilling analytics teams in AIML techniques and of embedding these approaches into their day-to-day toolkit is also essential. Experience with causal inference techniques is especially desirable. • "T-Shaped" professionalism: A broad understanding of the data/insight landscape with deep, specialist expertise in at least one area (e.g. Analytics, or Data Science). • Consultative mindset: A shift away from "order taking" toward a proactive, value-driven, and inquisitive approach to solving business problems. • Technical proficiency: Experience in advanced techniques such as causal modelling, econometrics MMM, etc • Influencing excellence: Exceptional storytelling and influencing skills, with the ability to build and sustain a "trusted adviser" relationship with C-suite stakeholders. • Balancing pace & rigor: Able to demonstrate that they have been successful in increasing team impact through pragmatic trade-offs between pace and rigor. Able to demonstrate that they have been able to embed this approach in their team • Leadership: Experience of managing "managers" and of leading diverse teams • Mixed-methodology approach: Experience integrating market/competitor intelligence, user research, survey data and behavioral data to create cohesive, balanced and holistic narratives/strategies • Domain knowledge: Strong data domain knowledge, ideally within a B2C, subscription-based, or media environment. • (Desirable) AI Transformation: Experience in evolving data/insight functions to leverage AI for increased quality, velocity and effectiveness. • Working Arrangements • The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. • AI usage for your application • We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications.
Responsibilities
• Team leadership: Lead and manage a stakeholder-focussed multidisciplinary team of ~8-10 insight analysts across two teams • Functional strategy: Drive the shift from descriptive/predictive reporting to diagnostic/prescriptive analysis using a mix of traditional and advanced techniques including causal inference, consumer research, econometrics, competitor intelligence, etc • Roadmaps & priorities: Lead, coordinate and direct the overall team roadmap for the B2C business across insights, research data science and insight products to ensure that priorities and roadmaps are aligned, that the diverse skillsets of the team are effectively deployed and that insight from different sources are synthesised effectively • Cross-functional collaboration: The B2C Research Manager will have a dotted reporting line into the Head of Insights & Decision Science and collaborate closely with the Insight Products Director and the Head of Data Science • Consultancy & storytelling: Act as a senior consultant to the business, translating technical findings into compelling narratives and actionable recommendations. • Data governance & quality: In collaboration with the Insight Products team, ensure high standards of data quality, availability, and observability to support decentralised insight creation • Transformation & excellence: Create a culture of excellence, learning and innovation - in addition to a track record of developing outstanding talent pipelines and successors • Innovation: Continuous and substantial process, technical and operating model innovation that delivers quantified KPI improvement and material commercial impact
Benefits
• Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. • We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. • You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.
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