Senior Director - Industry 4.0

Senior Director – Industry 4.0

JOB PURPOSE:

Senior Director – industry 4.0 is responsible for the development of EGA into the Industry 4.0 lighthouse in the region. Its main mandate it to develop and maintain the overall industry 4.0 roadmap and create cost savings and enhancements opportunities for EGA.  He/she is ensuring consistent approach and methodology in advance analytics and digital use case implementation; grow digital capabilities of EGA and create an attractive culture for digital talent. He/ she is also overseeing the activities of Advance analytics activity and Industry 4.0 Program management by lead translator and program delivery by Lead data scientist and data engineers.

 KEY ACCOUNTABILITIES:

         Have an overview of the Industry 4.0 portfolio across the organization (how many use cases are in the program and in what maturity level),

         To Develop and recommend strategic and long-range goals based on analysis and studies of business conditions.

         To develop, coordinate, and implement strategies that support the Organization's development plans and that capture new opportunities.

         Provide bold strategic vision and leadership for all aspects of the data lifecycle at EGA. Strategy will encompass the design, implementation and technology for data management and governance, including data acquisition, data maintenance, analytics and insights, and reporting.

         Ultimately the data strategy should yield into tangible business value, including enhanced EGA client service, business growth, timely response to data queries, data security, and reduction of risk due to inaccurate or mis-used data.

         Responsible for strategic data priorities of EGA, and will identify new organization opportunities based on existing and emergent data.

         Responsible to generate more revenue or decrease costs through the use of data.

         To develop and maintain collaborative partnerships with business and technology leaders across all business units, the risk and compliance teams, and key stakeholders to ensure a strong understanding and adoption of the standards and expectations of the enterprise data program.

         To ensure the best use of the organization's resources for the establishment of key objectives and mission realization, while taking into consideration the organization's strengths, weaknesses, capacity and products

         To work with executives to establish the vision for managing data as a business asset, and to leverage data using research and analytics to maximize the return on data assets.

         To oversee the development and deployment of the enterprise's data and analytics platform for digital business.

         To assist in the creation of a data-driven culture, related competencies and data literacy across the enterprise.

         To develop an investment strategy to build a world-class data team. Develop ambitious KPIs for the team around revenue, profitability, customer satisfaction and business growth.

         To collaborate with cross-functional partners in product, design, engineering, operations, finance, and marketing to define and execute roadmaps.

         To effectively communicate at all levels of the organization including executives and board members.

         To oversee or support digital transformation strategy engagements with large client organizations.  

         To design new/improved digital EGA experiences and develop digital EGA customer engagement strategies. 

         To support projects from start-to-finish and drive blended teams of management consultants, experience designers and technology implementation specialists to deliver according to plan (scope, quality and time).  

         To mentor and coach others to deliver quality results and promote others' professional development Practice Building responsibilities. 

         To defines and drives all analytics and Organization intelligence initiatives in the Data and Analytics department.

         To defines appropriate analytical models necessary to support use cases such as customer segmentation, among others and leverages the power of predictive insights and analytics.

         To Define and enable teams to implement augmented intelligence and machine learning algorithms and models for efficient processing and delivery of analytics.

         To partners closely with Organization's IT leadership responsible for data storage infrastructure, security and accessibility avoiding conflicting activities, and availing the most efficient data analytics insights across the Organization.

         To works with key internal and external stakeholders as well as departmental leaders and executives fostering a relationship of trust and playing an advisory role in the use of data to improve performance and Organization-wide strategy formulation.

         To provide support to initiative owners to prepare, launch and track implementation of I4.0 use cases.

         To oversee work processes for project intake, estimation, prioritization and reporting.

         To oversee and support quarterly prioritization sessions with leadership team to establish goals.

         Review along with lead translator business cases for proposed projects and track and communicate value realized.

AUTHORITY/ DECISION MAKING:

         Thinking within broadly defined policies, standards and objectives. The determination of “what needs to be done” in applying polices is largely left up to the incumbent who must establish the plan, determine the priorities and prescribe the processes needed to achieve the objectives.

         Subject to general direction and broadly defined functional policy objectives. Actions which will impact other functional or operating areas usually require approval before they may be implemented.

QUALIFICATIONS & SKILLS:

Minimum Qualifications:

         BSc or MS Engineering (Mechanical/Chemical) or related technical discipline.

Minimum Experience:

         Minimum of 20 years of experience in metal and mining industry managing a portfolio of highly visible, complex, and wide-scope projects across the business. Additional experience in Energy is valuable.

         Has expert and a unique skill set of a mix of business knowledge, general technical fluency, and project-management excellence.

         Ability to smoothly deliver highly complex projects using effective planning, pragmatic approaches, and collaboration, despite obstacles and ambiguity.

         Deep knowledge and experience applying agile development techniques to solving business problems, particularly in a product management role or mindset.

         Familiarity with project management tools and techniques including MS project, Primavera, Jira, Confluence, Scrum, Kanban and related and equivalent technologies.

         A demonstrable track record of world-class strategic leadership, able to balance long term strategy with driving short term results.

         Develop and maintain consultative relationships with key stakeholders to effectively drive aligned business results.

         Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.

         Ability to work across business lines at a senior level to influence and effect change to achieve common goals.

         Experience in leading complex, multidisciplinary talent teams in new endeavors and delivering solutions.

         Familiarity with business information generation and analysis methods.

         Ability to effectively drive business, culture and technology changes in a dynamic and complex operating environment.

         Effective leadership skills, including the ability to balance team and individual responsibilities, develop teams and build consensus.

         Experience in a complex, cross-functional organization where your teams need to collaborate and integrate with other teams across many disciplines.

         Exceptional project management and technical communication skills.

         Ability to effectively challenge the status quo and collaborate cross-functionally in the development of detailed roadmaps.

         Passionate about innovating solutions, delighting users, and inspiring colleagues.

         A believer in the power of a diverse, inclusive and high-performance team culture as a key differentiator in a highly competitive marketplace.

         Aware of design, development, and validation of descriptive, predictive, prescriptive, and applied analytics.

         Proven and successful experience in a consulting role for senior Organization leadership and executives.

         Deep understanding and experience in lean-agile / agility leadership, mindset and methods to maximize and continuously improve the flow of customer value.

         Domain Expertise

         Good understanding of the organization and the role of the different Functions (ideal candidate would have taken up roles in multiple departments, e.g., Marketing, Operations, Supply Chain).

         Deep understanding of EGA operations (e.g., former process engineer) or of a similarly complex technical process.

         Agile/Digital Experience

         Able to guide team in decisions needed in data collection and feature engineering (e.g., define data cleaning rules, provide guidance on how prioritize variables and compute synthetic features).

         Able to interpret technical output from data science and Data Engineer  (e.g., determine whether predictive model is well-performing, determine whether model output reflects reality).

         Programming experience and knowledge nice to have, but not required.

Individual Skills

         Strong communication and interpersonal skills needed to collaborate, negotiate and influence effectively with all stakeholders at the firm.

         Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders, and business concepts to technologists.

         Team Leadership –  experienced in assessing how the team is doing and drive necessary actions to improve.

         Excellent problem-solving, organizational and analytical skills, with the ability to coach and mentor team members.

         Skilled in building relationships and navigating through the organization.

         An ideal candidate will also have experience working with cross-functional teams and track record of having delivered financial impact from Industry 4.0 use cases.

Mindset & Behaviors

         Assertive, with the confidence to be voice of authority – not afraid to do

what drives the most impact for the organization and the team.

         Impact-driven mindset – not afraid to make decisions based on top-down impact estimations, and daring to challenge impact and feasibility assumptions across multiple domains and stakeholders.

         Brings a high-energy and passionate outlook to the job and can influence those

around her/him.