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VP, Data Management and Governance in Huntersville, NC at American Tire Distributors

Date Posted: 5/22/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    5/22/2019

Job Description

We look forward to your application! When applying, please be sure to put your Full Legal First Name and Last Name for legal and processing purposes.

Are you looking for an opportunity to turn your ambition and your people skills into a rewarding career with an industry leader? Join our team at American Tire Distributors! As the nation's premier tire distributor, ATD’s coast-to-coast distribution network provides approximately 80,000 customers across the U.S. and Canada with rapid and frequent delivery of high quality tires, custom wheels and shop supplies. 

Position Description: 

The Vice President, Data Management & Governance (Chief Data Officer) is the senior IT leader who bears responsibility on behalf of the enterprise to foster value creation from the use of the organization's data assets, as well as the external data ecosystem. The authorities include value creation through leveraging data assets, envisioning data-enabled strategies as well as enabling business outcomes through data management, data governance, and enterprise information policy. This role is responsible for all enterprise BI Systems, Big Data Solutions, and Enterprise Data. Moreover, the Chief Data Officer is the leader with responsibility for aligning data policy and administration with relevant regulatory, legal and ethical mandates

Essential Duties & Responsibilities

  • Be the senior leader with authority, responsibility and accountability to leverage the value of enterprise data (information) assets and the analytics used to render insights for decision making and regulatory reporting.
  • Define data strategy practices, lead the creation and assure the ongoing relevance of the firm's data strategy in association with the IT leadership, chief strategy officer and other executive team.
  • Drive the development and deployment of the enterprise's data and analytics platform for digital business. Lead strategy and the development of data and analytics products. To support these endeavors, collaborate with the IT and other business leadership to assure digital products are released on time, on budget and with high quality.
  • Responsible to establish vision, to govern and to create a culture that manages data as an enterprise asset.
  • Identify and standardize the use and governance of data and analytics in support of the enterprise's business strategy. This includes the governance of data and algorithms used for analysis, analytical applications and automated decision making.
  • Institute a programmatic approach for enterprise information management to identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.
  • Be the corporate leader of data-driven insights that help support exploitation of strategic and tactical business opportunities, and be a champion for a data-driven, decision-making culture.
  • Exploit data using research and analytics to maximize the return on data assets, and develop methods to ensure consistent application and use of analytics.
  • Identify new kinds, types and sources of data to drive business innovation throughout the organization. Define processes for the effective, integrated introduction of new data.
  • Research and develop new data products or services to expand markets, monetize data (directly and indirectly) and grow company revenue.
  • Be a marketing champion for the information services provided by the enterprise and related data and analytics management capabilities.
  • Lead regulatory and compliance programs related to data and analytics assets.
    • Act as the corporate representative to regulators, and represent the enterprise to customers, suppliers and external bodies in the development of industry data and analytics standards.
    • Ensure that appropriate audit controls exist for data and analytics that serve as the source material for regulatory reports.
    • Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk associated with the use of data and analytics.
    • Create policies and controls for the appropriate protection of enterprise information assets through a defined life cycle, from acquisition or creation to end of life destruction and disposal procedures.
  • Organize and lead a data and analytics governance council to provide sponsorship and oversight for governance policy creation and compliance.
    • Organize and chair a data and analytics governance council that includes leaders representing Finance, IT, a number of key business units, legal and meets at least quarterly.
    • Define, manage and advance enterprise information management principles, policies and programs for stewardship and custodianship of data and analytics, in concert with legal, information security, risk and compliance.
    • Evolve and institutionalize behaviors for the appropriate use of information within changing security requirements, privacy needs, and ethical values
    • Define, manage and ensure an adequate information trust model, controls for master data and metadata management, including reference data.
  • Ensure the performance of independent audits, as appropriate.
  • Lead the development, publication and maintenance of the corporate information architecture, as well as a roadmap for its future development that matches and supports business needs.
  • Measure master data and reference data for compliance to policy, standards and conceptual models. Assure the deployment and management of data quality monitoring practices.
  • With the extended IT team, oversee the integration and staging of data, and the development and maintenance of the data lakes, data warehouse and data marts, for use by analysts throughout the organization


Organization

The Vice President, Data Management & Governance (Chief Data Officer) has an organization consisting of data and analytics leaders, technical professionals, and other specialists who may include the following, either as direct reports or virtual team members:

  • Director – Corporate BI, Analytics & Big Data Platforms
  • Data engineers
  • Information and/or data architects
  • Data modelers
  • Master data management (MDM) program manager(s) and specialists
  • Metadata specialists and taxonomists
  • IT Solutions Delivery Managers for BI and ‘Analytics & Big Data Platforms’
  • Business process analysts
  • Business analysts (data, analytics and/or applications)
  • Analytics specialists
  • Algorithmic business domain experts
  • Information product managers




Qualifications



Required

  • A bachelor's or master's degree in business administration, computer science, data science, information science or related field, or equivalent work experience. Academic qualification or professional training and experience in legal and regulatory areas are a plus.
  • Fifteen or more years of business experience, ideally in IT, Information Management or business management — recently at or near Senior IT Leadership level. Broad business experience internally and within the vertical industry is desired.
  • Five or more years of progressive leadership experience in leading cross-functional teams and enterprise-wide programs, operating and influencing effectively across the organization and within complex contexts.
  • Experience in integrating complex, cross-corporate processes and information strategies, and/or designing strategic metrics and scorecards.
  • Strategy and management consulting experience desirable.
  • Excellent business acumen and interpersonal skills; able to work across business lines at senior levels to influence and effect change to achieve common goals.
  • Demonstrated leadership; proven track record of leading complex, multidisciplinary talent teams in new endeavors and delivering solutions.
  • Proven data literacy — the ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options. The ability to translate among the languages used by executive, business, IT and other stakeholders.
  • Information strategy experience; experience in strategic technology planning and execution, and policy development and maintenance.
  • Analytical skills: outstanding analytical and problem-solving abilities.
  • Familiarity with business information generation and analysis methods.
  • Ability to effectively drive business, culture and technology change in a dynamic and complex operating environment.
  • Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists; the ability to sell ideas and process internally at all levels, including the board and investors.
  • Proven record of effective leadership, including the ability to balance team and individual responsibilities; building teams and consensus; getting things done through others not directly under his/her supervision; working ethically and with integrity.
  • Broad experience in multiple domain areas, such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
  • Share and demonstrate ATD values (Innovate, Collaborate, Accountable, Respectful, Excellent) a must.


Candidate Skills and Competencies

Professional (To be added by HR)

Competencies

  • Release and Deployment (RELM)
    • Assesses and analyses release components.
    • Provides input to scheduling.
    • Carries out the builds and tests in coordination with testers and component specialists maintaining and administering the tools and methods – manual or automatic - and ensuring, where possible, information exchange with configuration management.
    • Ensures release processes and procedures are maintained


Quality Management (QUMG)

  • Uses quality management models and techniques to identify areas for improvement.
  • Determines corrective action to reduce errors and improve the quality of the system and services.
  • Analyze and help implement adequate unit and regression test automation tools to streamline overall development process in Agile teams
  • Quality Assurance (QUAS)
    • Uses appropriate methods and tools in the development, maintenance, control and distribution of quality and environmental standards.
    • Makes technical changes to quality and environmental standards according to documented procedures.
  • Testing (TEST)
    • Accepts responsibility for creation of test cases using own in-depth technical analysis of both functional and non-functional specifications (such as scalability, reliability, efficiency, usability, maintainability and portability).
    • Creates traceability records, from test cases back to requirements.
    • Produces test scripts, materials and regression test packs to test new and amended software or services.
    • Interprets, executes and documents complex test scripts using agreed methods and standards.
    • Records and analyses actions and results, and maintains a defect register.
    • Reviews test results and modifies tests if necessary.
  • Performance Management (PEMT)
    • Manages individuals and groups.
    • Provides support and guidance as required, in line with individuals’ abilities.
    • Advises individuals on career paths, and encourages pro-active development of skills and capabilities.
    • Sets performance targets, and monitors progress against agreed quality and performance criteria.
    • Provides effective feedback, throughout the performance management cycle, to ensure optimum performance.
  • Resourcing (RESC)
    • Develops plans to ensure that the organization has appropriately skilled resources to meet organizational objectives and commitments.
    • Manages the effective implementation of resource planning, recruitment, selection, assessment, on-boarding and transitioning of resources.
    • Advises on standards, methods and tools for resource management.
    • Ensures compliance with relevant statutory or external regulations and codes of good practice.
    • Contributes to the development of resource management policies, standards and guidelines and to audits and assessment of resource management processes
  • Professional Development (PDSV)
    • Determines the required outcomes for learning or development, from organizational development needs training strategies, and agreed career pathways.
    • Mentors assigned practitioners, ensuring alignment with predetermined statements of required development outcomes.
    • Assists each practitioner with the creation of development plans based on the outcome statements.
    • Validates practitioners' records at the end of each cycle of planned development, to ensure that achievements and enhanced capabilities are correctly recorded and referenced to the outcome statements.


Additional Details (work environment, specializations, etc.)

This job description in no way states or implies that these are the only duties to be performed by the employee occupying the position.  Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor, subject to reasonable accommodations.  Nothing in this job description creates a contract of employment in any way for any person.   All employees hired by American Tire Distributors, Inc. are employees at will and the company reserves the right to terminate employees at any time for any reason or no reason at all.







Build a challenging and rewarding career with us!

American Tire Distributors is an Equal Opportunity Employer and Drug Free Workplace


Shift Type:
Job ID: R08969