Associate VP, Data Science
Work at Home - Kentucky
Description
The head of People Data & Analytics is responsible for the overalldesign 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
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