{"id":3134079,"url":"https://alion.io/job/cencora-director-data-analytics","title":"Director, Data Analytics","company":{"id":1040788,"name":"Cencora","domain":"cencora.com","url":"https://alion.io/company/cencora","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":115,"ghost_share":0,"stale_share":0.817,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-26T05:57:25Z"}},"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":["Chessington, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":181000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Cognos","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"FinOps","optional":true}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-24T05:45:23Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!\nJob Details\nCencora Alliance Healthcare UK is seeking an experienced Data Leader to set the direction for, and lead the delivery of, its data and analytics capability during a period of significant transformation. The role combines strategic leadership with hands-on accountability for delivery: shaping a forward-looking data roadmap, leading the team that delivers it, and raising the maturity of data governance across the organization. The future technology stack will focus on Azure, Databricks and Power BI, and a large-scale transformation of legacy systems is underway.\nThe Data Leader will play a pivotal role in translating the enterprise-wide Data & Analytics strategy into tangible outcomes, and in looking beyond current priorities to position the business for the future. A central part of this is identifying and embedding AI across data activities, so that the function can streamline how it works, enhance the quality and speed of its output, and enable the business to optimize operations, improve customer outcomes and strengthen competitive advantage.\nStrong Data Governance capability will be central to the role. The postholder will be accountable for strengthening and embedding the policies, ownership, tooling and culture required to ensure data is trusted, secure and compliant, while taking a pragmatic approach to the pace of change the business can absorb.\nThe role requires a strong, credible leader with proven delivery experience, sound financial management, exceptional interpersonal and stakeholder management skills, and the resilience and adaptability to thrive in a fast-moving, challenging and ambiguous environment. The ideal candidate will have a proven track record in maturing and transforming Data and Analytics. While ensuring smooth transitions while maintaining stakeholder trust. Reporting to the Senior Director, Analytics & Data Management, this role will be pivotal in driving the organization's data transformation journey. Healthcare or Pharmaceutical wholesale would be advantageous.\nPrincipal Accountabilities:\n1. Strategic Leadership & Data Roadmap\nDefine and own a multi-year Data & Analytics roadmap for Cencora Alliance Healthcare UK that is aligned to the enterprise-wide strategy, anticipates future business and market needs, and is refreshed regularly as priorities evolve.\nTranslate strategy into a prioritized, sequenced and costed portfolio of initiatives, with clear milestones, dependencies, trade-offs and measurable outcomes.\nAct as a trusted advisor to senior leaders on emerging data and AI trends, platform direction and the opportunities and risks they present to the business.\nEnsure the roadmap balances near-term delivery commitments (including legacy migration) with longer-term capability building and innovation.\nContribute to the wider Cencora and International Business Group data community, aligning UK plans with global standards, platforms and shared services where appropriate.\n2. Data Delivery Leadership\nOwn the end-to-end delivery of data products aligned to the Data & Analytics strategy.\nOversee the planning, prioritization and execution of projects across multiple business areas.\nEstablish delivery frameworks and standards to ensure consistency, quality and speed of delivery.\nCreate clear delivery timelines, monitor progress, and address risks or delays proactively.\nDocument and present the value of each data product delivered to the business.\nLead the transition from legacy systems (e.g., Cognos, Oracle, Qlik) to modern cloud-based platforms (Azure, Databricks and Power BI), including decommissioning plans and managing business continuity throughout.\nMature Data Quality capabilities by embedding proactive monitoring, clear ownership and measurable standards, while streamlining root-cause analysis and corrective action to resolve issues efficiently, prevent recurrence and improve trust in data.\n3. Business Value Realization\nEnsure data and analytics initiatives are explicitly linked to strategic priorities and measurable business outcomes, including improved customer service, operational efficiency, revenue, margin, risk reduction and colleague productivity.\nPartner with business owners to define clear success measures, baselines, benefit targets and ownership before delivery begins.\nEmbed data products and insights into business processes and decision-making, driving adoption and the changes in behavior required to realize value.\nTrack and report benefits transparently throughout the delivery lifecycle, intervening where adoption or value is below expectation and ensuring corrective actions are agreed.\nUse evidence from delivered outcomes to refine priorities, scale successful solutions and continuously improve the return on Data & Analytics investment.\n4. AI & Innovation\nExecute a pragmatic AI strategy that identifies where AI, machine learning and automation can streamline processes and enhance the quality, speed and impact of data and analytics output.\nEmbed AI-enabled ways of working across the data function (for example automated data quality monitoring, AI-assisted development and testing, metadata and documentation generation, and natural-language access to insight).\nPartner with business areas to identify, prioritize and deliver high-value AI use cases across the pharmaceutical supply chain, commercial and operational activities, with a clear business case for each.\nEnsure AI is adopted responsibly, with appropriate controls for ethics, transparency, security, regulatory compliance and human oversight, working with Legal, Compliance, Information Security and global colleagues.\nBuild AI literacy and confidence within the team and the wider business, and evaluate emerging tools and vendors to keep the function at the leading edge.\n5. Data Governance & Compliance\nAssess the current maturity of data governance and lead the design and delivery of a pragmatic, phased improvement plan, with defined maturity targets and progress reporting.\nEstablish and embed the core governance framework: policies and standards, data ownership and stewardship, data catalogue and lineage, data quality rules and monitoring, master and reference data management, and access controls.\nEnsure all data initiatives comply with organizational governance frameworks and regulatory standards and the requirements of a regulated healthcare and pharmaceutical distribution environment.\nCollaborate with Compliance, Legal, Information Security and Privacy teams to maintain data security, privacy and quality.\nEstablish robust processes for data governance, including documentation, auditing and reporting, and chair or facilitate the data governance forums needed to sustain them.\nBuild a culture of data accountability by making governance practical, proportionate and embedded in delivery rather than a separate control activity.\n6. Financial & Commercial Management\nManage the Data & Analytics delivery budget (operating and capital), including forecasting, variance analysis and robust financial reporting to senior leadership.\nBuild and defend business cases, and ensure investment is prioritized towards the initiatives with the greatest return and strategic value.\nPlan resources and headcount to match the roadmap, making clear, evidence-based recommendations when demand exceeds capacity.\nMonitor and manage cloud-based data infrastructure, including usage, capacity, performance and cost, to optimize investment, maintain effective financial control and maximize the benefits delivered to Alliance Healthcare UK.\n7. Stakeholder Management & Engagement\nBuild strong relationships with business leaders, ensuring their data needs are prioritized and met.\nAct as the primary point of contact for stakeholders, balancing competing demands and managing expectations.\nCommunicate complex technical concepts, including AI and governance, in a clear, business-friendly manner.\nNegotiate timelines, resources and deliverables to ensure alignment across the organization.\nTranslate complex data delivery challenges into clear, business-relevant narratives.\nFacilitate steering committees, governance forums and executive reporting.\nLead Data Fluency and Data Culture initiatives, increasing confidence in using data and AI across the business.\n8. Team & Capability Leadership\nLead, coach and develop a team of data professionals to deliver high-quality data solutions.\nFoster a culture of accountability, collaboration, inclusion and continuous improvement within the delivery team.\nIdentify and address capability gaps, ensuring the organization builds robust data delivery, governance and AI competencies, through hiring, development and partnerships.\nCreate an environment that supports the team's wellbeing and resilience through periods of significant change and pressure.\n.\nKnowledge, Skills and Experience Required:\nKey Competencies & Behaviours:\nLeadership Excellence: Demonstrates authority, confidence and credibility; inspires teams to achieve high standards of performance.\nStrategic Vision & Execution: Sets a clear, future-focused vision and roadmap, anticipates change and turns strategy into delivery plans with clarity and discipline.\nInterpersonal Skills & Stakeholder Influence: Builds trust and strong relationships at every level, from the executive team to engineers; listens well, communicates persuasively and diplomatically, and handles difficult conversations with empathy and candour.\nFinancial Stewardship: Plans, controls and forecasts budgets with rigour; makes sound investment decisions and can demonstrate value for money.\nDelivery Focus: Proven track record of delivering complex programmes on time, within budget and to scope.\nInnovation & AI Mindset: Curious about emerging technology; able to separate genuine opportunity from hype and to apply AI in a practical, responsible and value-led way.\nGovernance Mindset: Understands the importance of data ownership, quality, security and privacy, and can influence the business to adopt good practice without slowing delivery.\nChange Leadership: Guides stakeholders and teams through transformation with resilience and clarity.\nCollaboration: Works across boundaries, building partnerships with IT, the business, global teams and external suppliers.\nAdaptability & Resilience: Thrives in a complex, fast-paced and changing environment, remaining calm, flexible and focused on outcomes under pressure.\nProblem Solving: Strong problem-solving skills and the ability to make timely decisions with incomplete information.\nExperience & Qualifications\nEssential:\nSignificant senior experience leading data, analytics or technology delivery within large, complex organisations.\nDemonstrable experience of managing and being accountable for a significant budget, including forecasting, business cases and cost control.\nProven experience of developing and communicating a strategic data or technology roadmap that has been successfully executed.\nProven leadership experience in leading and developing cross-functional teams and managing senior-level stakeholders.\nExceptional communication, presentation and reporting skills, with the ability to engage and influence both technical and non-technical audiences.\nDeep understanding of data platforms, data governance, analytics solutions and their application in a business context, including experience of establishing or improving governance in a low-maturity environment.\nPractical knowledge of how AI and machine learning can be applied to improve data and analytics processes, and of the governance and risk considerations that accompany them.\nExperience of leading ch...","description_format":"text","description_chars":14099,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Logistics","Wholesale","Pharmaceutical Distribution"],"lifecycle":[{"event":"open","at":"2026-10-23T04:58:23Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely 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