Associate VP, Data Science

Work at Home - Kentucky

Applications have closed

Description

The head of People Data & Analytics is responsible for the overall
design and delivery of people analytics and reporting strategy, as well as coordination across the Enterprise (e.g., IT, HR, Business Executives, etc.) to deliver data quality oversight, People data platform strategy, advanced analytics and modeling, as well as consulting and insights support.
In addition to day-to-day managerial responsibilities, the role requires significant influence across the Enterprise with a wide set of stakeholders to achieve successful HR program objectives in meeting business needs.

Responsibilities

KEY RESPONSIBILITIES

  • Drive team collaboration and coordination at the leadership level, while clarifying future state ownership, roles and responsibilities

  • Define future state reporting and analytics strategy, including design and adoption of mature data governance processes that leverage automation to reduce workload

  • Establish a People Data Council and create an access rights framework, as well as implement a future-state data architecture

  • Ensure teams are staffed appropriately and have right capabilities across the ecosystem of teams necessary to deliver the full value of People Data analytics, insights and reporting

  • In close partnership with HR Service Excellence (Shared Services), jointly manage service catalog, operational intake process, demand and backlog prioritization, customer management and report/analysis inventory

  • In close partnership with IT/Enterprise Data Architecture, accountable (primary decision-making authority) to establish People Data Architecture Strategy, and facilitate alignment and utilization of that strategy across a wide range of Enterprise leaders and teams

  • Accountable (decision-making authority) and responsible (working on the activity) for establishing the People Reporting & Analytics Strategy, consulting with IT, HR Service Excellence (Shared Services), HR Business partners and other key stakeholders to ensure a ‘customer-back’ design of the strategic outcomes and deliverables

  • Accountable (decision-making authority) and responsible (working on the activity) to align with the Enterprise Data Governance guardrails, while establishing a People Data Governance strategy

  • Accountable (decision-making authority) for Data Quality Management, Master Data Management, Data Dictionary, Data Privacy & Security standards, & Data Product Management

  • Accountable (decision-making authority) for MT+1 analytic support, including Enterprise dashboards, executive reporting and advanced analytics, and joint responsibility (working on the activity) with HR Service Excellence (Shared Services) to execute operational reporting (data sharing, reports and analytics, etc.) through demand prioritization, capacity planning and backlog management

DECISION MAKING & IMPACT

  • Advises executives to develop functional strategies on matters of significance

  • Exercises independent judgement / decision making on complex issues

  • Makes recommendations to mgmt.; prioritizes for work group

  • Decisions have a moderate to significant impact

WORK COMPLEXITY AND INDEPENDENT JUDGEMENT

  • Works on problems of diverse scope & complexity ranging from moderate to substantial

  • Leads a team / functional area in determining methods and procedures for new and reoccurring tasks

  • Has ownership of work, milestones and proficient at aligning across multiple teams

AUTONOMY AND MANAGEMENT

  • Operates without direction; exercises considerable latitude in work

  • Little instruction on day-to-day work, general instructions on new assignments; establishes own work priorities and timelines

  • Highly proficient at integration and alignment across a wide set of stakeholders and business partners

SCOPE OF KNOWLEDGE, EDUCATION AND EXPERIENCE

  • Regularly uses new technologies, theories, concepts

  • Advanced interpersonal/problem-solving skills and knowledge

  • Understanding of own department or function

  • Understanding of enterprise functions and related connection points across teams and capabilities

               

Required Qualifications

  • Typically requires Bachelor's Degree

  • 10 or more years of technical experience

  • 8 or more years of management experience

  • Possesses a solid understanding of how organization capabilities interrelate across department

  • Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

  • Experience in creating reports, projections, models, and presentations to support business strategy and tactics

  • Experience in identifying and resolving complex technical and operational problems within departments

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

SKILLS & COMPETENCIES

  • Extensive knowledge of best practices, industry research and benchmarking to drive value for areas of purview

  • Strong leadership capabilities

  • Knowledge of human-centered design and design thinking best practices, industry research and benchmarking to drive value for areas of purview

  • Analytical skills to ensure initiatives are fact-based and drive business outcomes

  • Ability to influence and manage upwards to affect change among business and HR leaders

  • Demonstrated progressive experience in leading and developing high performing teams

  • Ability to oversee a cross-functional team of resources across multiple locations ▪ Ability to present data and recommendations in a meaningful way

  • Articulate, confident and fluent communication skills

  • Deep understanding of managing delivery of program strategy, design, and execution

  • Business acumen / Strategic business viewpoint

Scheduled Weekly Hours

40

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Consulting Data Analytics Data governance Data management Data quality Privacy Research Security Unstructured data

Region: North America
Country: United States
Job stats:  3  0  0

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