{"id":4140445,"url":"https://alion.io/job/astrazeneca-brand-analytics-director","title":"Brand Analytics Director","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":182,"ghost_share":0.011,"stale_share":0.346,"repost_share":0.104,"time_to_fill_p50_days":19,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Copilot","optional":false},{"name":"D3.js","optional":false},{"name":"Databricks","optional":false},{"name":"Design of Experiments","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T05:10:45Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The US Brand Analytics Director is the brand’s expert and strategic authority on commercial data and analytics. The role provides an end-to-end view of performance across patient, HCP, account, access, field and market dynamics, and delivers a competitive advantage through rigorous analysis and insight that supports US and Global decision-making.\nThe Director continuously measures performance against strategy, forecast and key business objectives, diagnoses the drivers behind results, and proactively identifies emerging opportunities, risks, unmet needs and growth levers before they become obvious in topline reporting. As a standing strategic advisor to Brand Leadership Teams, the Director brings an independent, evidence-based point of view to major business choices, challenges assumptions, connects signals across research, secondary data, competitive intelligence and forecasting, and converts analytics into clear recommendations and actions.\nThis is a hands-on analytical role and a proactive internal consultant to the brand team. The Director sets the analytics agenda, ensures leaders have the right KPIs and decision-support tools, and advances scalable analytics, AI and automation capabilities that improve the speed and quality of commercial decisions. The role partners closely with the Senior Director, Insights, Analytics & Forecasting. It has no direct reports but may manage contractors and consultants to complete analytical projects.\nRole principle: own the business question and recommendation, not simply the requested output.\nKnown For\nBeing a trusted commercial analytics partner who connects disparate evidence. \nRigorous secondary-data, advanced analytics and performance expertise. \nClear executive storytelling that turns complexity into action. \nDrives Impact By\nIdentifying performance drivers, risks and growth opportunities early. \nOwning segmentation and targeting to proactively guide decision-making on priority customers. \nEmbedding scalable AI, automation and self-service analytics. \nAccountable For\nUS analytics strategy and a prioritized analytics plan. \nSource-of-truth performance views, KPIs and diagnostic narratives, including weekly and monthly performance tracking with executive-level summaries of gaps versus forecast and their drivers. \nDecision-ready recommendations that improve brand execution and investment choices. \nKey Responsibilities\nDevelop a deep understanding of internal customers’ data and analytical needs, with a focus on customer-facing model leadership. \nDesign and implement analytical solutions for business opportunities, customer segmentation and targeting, HCP and patient opportunity identification, return-on-investment analytics, optimal resource and budget allocation across Sales and Marketing channels, patient and prospective analytics, smart business experiments (test and learn), and market simulation and patient flow modelling. \nCoordinate the procurement of syndicated and custom, primary and secondary datasets. \nChampion the use of local customer insight in strategic and resourcing decisions across the business. \nCollaborate with Commercial, Sales Force Operations and Market Access teams on key business processes and joint initiatives. \nIdentify and prioritize enhancements and new analytic capabilities, and lead their development, deployment and embedding across the organization, including AI and automation use cases. \nInstill a culture of continuous improvement, testing and deployment of new capabilities, and develop innovative analytical practices that sustain competitive advantage. \nSummarize and present findings through various communication channels, with clear implications and recommended actions for senior leaders. \nApply deep technical knowledge shared across the functional area, such as key datasets and modelling capabilities, and understand how this work integrates with that of colleagues. \nMonitor the external environment for leading analytic capabilities, inside and outside pharma, that can be applied within the organization. \nKey Stakeholders and Cross-Functional Partners\nUS Brand / Commercial Lead and Marketing Leadership; US Commercial and R&I leadership. \nSenior Director, Insights, Analytics & Forecasting; Business Insights and Forecasting; Global brand and analytics counterparts. \nMedical, Market Access, Finance and Competitive Intelligence. \nSales Force Operations, Field Leadership and Customer Engagement. \nData / Technology, GBS / GCS, procurement and external vendors. \nAI and Automation\nEmbed AI into day-to-day analytics, using tools such as Databricks Genie, Genie Code and Copilot to accelerate analytical code development, model building and deliverable creation. \nBuild and scale AI-enabled analytics, for example AI-assisted HCP segmentation and scoring, and AI-drafted weekly performance narratives (launch performance copilots) that analysts validate, interpret and turn into recommended actions. \nDefine repeatable, governed AI use cases with measurable time and quality benefits, and partner with Data and Digital, Data Engineering and enterprise AI teams on governed data feeds and automation. \nApply responsible AI practices: validate AI outputs, document model logic and keep human review of insights and recommendations before they reach business leaders. \nEssential Requirements\n5+ years of experience applying advanced methods and statistical procedures to large and disparate datasets, specifically: \nStatistical analysis and modelling: design of experiments, time series, regression, applied econometrics and Bayesian methods. \nData mining, predictive modelling and machine learning algorithms. \n2+ years of recent experience and proficiency with Python, R, SQL and big data technology (Hadoop ecosystem, Spark) or equivalent cloud platforms such as Databricks. \nWorking knowledge of data visualization tools such as Power BI, Tableau, MicroStrategy, Qlikview, D3js or similar. \nProficiency in Excel and PowerPoint. \nWorking experience with generative AI and AI-assisted analytics tools (e.g., Databricks Genie, Copilot) and a track record of applying them to improve analytical speed, quality or automation. \nProficiency in manipulating and extracting insights from large longitudinal data sources, such as claims, EMR and other patient-level datasets. \nExpertise in managing and analyzing a range of large secondary transactional databases. \nDesirable Requirements\nStrong leadership and interpersonal skills, with demonstrated ability to work collaboratively with many business leaders and cross-functional partners. \nStrong communication and influencing skills, with demonstrated ability to present succinct, compelling reviews of independently developed analyses that carry insight and business implications and actions. \nStrategic and critical thinking, with the ability to build and maintain credibility with the Commercial Leadership Team. \nStrong organizational and time management skills; ability to manage a diverse range of simultaneous projects. \nExperience leading AI or automation pilots and scaling them into governed, repeatable team capabilities; familiarity with responsible AI, model validation and change leadership. \nEducational Requirements\nQuantitative Bachelor’s degree from an accredited college or university in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science or a related field. An advanced degree (Master’s, MBA or PhD) is preferred. \n2+ years of experience in pharmaceutical, biotech or healthcare analytics or secondary data analysis. \nReporting Structure\nReports to the Senior Director, Insights, Analytics & Forecasting. This role does not have direct reports but may manage external contractors.\nThe annual base pay (or hourly rate of compensation) for this position ranges from $155,516.80 to $233,,275.20. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans. \nDate Posted\n11-Nov-2026Closing Date\n29-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. 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