Manager Advanced Analytics

PURPOSE OF THE POSITION Manager Advanced Analytics is to lead development and execution of best-in-class advanced analytics capabilities at PMJ to enable the organization to achieve data driven decision making. Manager Advanced Analytics acts as a thought-leader supporting the Management team by providing subject matter expertise with quality in tackling complex business problems using advanced and more contemporary methodologies and techniques. The areas of application include but not limited to new product launches, market dynamics understanding, customer segmentation and targeting analytics, omni-channel CRM and identifying potential growth/ competitive advantage. Manager Advanced Analytics is also to build robust analytics capability for future, leveraging emerging capabilities such as artificial intelligence, machine learning, and robotics process automation etc. to strengthen our competitive edge in analytics. PRINCIPAL ACCOUNTABILITIES Accountability 1: Continue to build upon and enhance advanced analytics strategy, oversee, and lead the execution of the strategy and plan of action - Design and build required capabilities, infrastructure, and develop/ hire talents to deliver the advanced analytics plan and portfolio - Proactively develop and implement new and innovative solutions to meet business needs and resolve business issues - Enhance operating model to ensure agility, flexibility and quality service while optimizing efficiency and cost Accountability 2: Identify business needs, assess, and prioritize. - Define and anticipate strategic questions / business needs from Management Team in local and region and shape point of views - Act as a though leader / catalyst between key internal stakeholders for identifying business needs from data analytics perspectives - Assess project request / plan from business as a part of data diligence for project governance committee - Prioritize and build an integrated work plan with internal stakeholders Accountability 3: Analyze, communicate & recommend - Perform / oversee detailed data analysis, data validation and identify data quality issues - Analyze and communicate actual performance regularly and ad-hoc - Gather insights, analyze & share findings, incorporate/advise to adjust corporate / functional strategy accordingly - Provide actionable, strategically focused, evidence-based insights and recommendations to functions and management - Work closely with other functions to ensure plans deployed are data-driven - Develop advance and predictive models that provide valuable insights to management Accountability 4: Data analytics development leadership - Review the latest technological/data analytics development and identify those that should be researched further - Identify external partners capable to develop prospective data analytics solutions - Lead data analytics development projects in-line with timelines and quality levels required for RRP development - Liaise with IT or vendors to ensure proper development of systems/tools to support analytical capabilities and maximize efficient use of resources. Accountability 5: Compliance - Carry out all activities, ensuring that PMI Compliance Policies, standards, and laws relating to these activities are fully respected, integrated and understood by stakeholders, and implement adequate processes to ensure the protection of information of a confidential nature. SKILL & COMPETENCY Work Experience - 5 to 10 years of experience in data science, analytics, and business intelligence with people and stakeholder management experience. Data analytics consulting experience is a plus. Other Skills - Strong strategic thinking, leadership, and networking, communication and influencing skills - Ability to lead and manage wide range of work with virtual and matrix teams including vendor / contractor - Strong visualization techniques and skills in PowerPoint - English skill - capable to write, communicate and facilitate the discussion and meetings with senior leaders - Strong in Commercial and Consumer based analytics and predictive methodologies - Solid understanding of structured and unstructured data - Familiar with conventional and advance analytic tool (Google 360, Analytic suite, listening tool, etc..) and Master Data Management framework and methodology - Capability to run analytics with SQL and Python (with R being beneficial) - Passionate in keeping pace with analytics industry, including new technologies, new methodologies. - Demonstrable experience in constructing and supporting data driven decisions throughout the cycle - from opportunity detection & requirements gathering, data landscape assessment, hypothesis testing and analysis, insights generation and ultimately business decision prescription in 2-3 of the following domains - Online/Offline journey optimization - Multi-touch advertising – Attribution, ROI and optimization, Consumer analytics, Segmentation, Lookalike Modelling - Time series analysis, Causal Inference. JOIN A GLOBAL MARKET LEADER PMI is the world’s leading international tobacco company, with six of the world's top 15 international brands and products sold in more than 180 markets. In addition to the manufacture and sale of cigarettes, including the number one global cigarette brand, and other tobacco products, PMI is engaged in the development and commercialization of Reduced-Risk Products (“RRPs”). RRPs is the term we use to refer to products that present, are likely to present, or have the potential to present less risk of harm to smokers who switch to these products versus continued smoking. We have a range of RRPs in various stages of development, scientific assessment and commercialization. Because our RRPs do not burn tobacco, they produce far lower quantities of harmful and potentially harmful compounds than found in cigarette smoke. For more information, see www.pmi.com and www.pmiscience.com. PMI is an Equal Opportunity Employer.