Senior Director I, Data Analytics - Data Enablement

Position Summary...

What you'll do...
This role leads Walmart's Marketing Analytics Data Enablement team. The position oversees web & app tracking instrumentation and training, marketing data infrastructure and platform, marketing data engineering & data integration, marketing attribution model implementation, and the development of data products to enable marketers to achieve a broad range of objectives across media channels. Central to these efforts will be a passion for ensuring that the team's technology and data solutions are well tailored to help drive the business and address the needs of stakeholders.

This position supports a broad range of internal constituents and external partners, and requires a combination of skills & experience, including people leadership, communications & relationship development, reporting & complex data visualization, data automation in scale in cloud-based computing environments, technical product management, and a strong knowledge of marketing strategy and advanced marketing measurement & optimization techniques.

What you'll do...

• Lead the Walmart's Marketing Data Enablement team. Serve as a key leader within the Performance Marketing function.

• Responsible for Walmart's Marketing Analytics data infrastructure, data processing and management, marketing attribution model implementation, and delivery of all key marketing reporting and data products to internal and external partners.

• Oversee web and app instrumentation, training, system administration, and vendor relationship management.

• Develop marketing reporting tools and data products which communicate marketing performance, customer engagement and business drivers in simple terms to all levels. Build trust and align teams to strategic reporting solutions.

• Manage SLAs regarding marketing data availability and quality to enable marketing performance reporting, analytics, and marketing optimization. Identify opportunities to build automated processes and tools to improve marketing efficiency.

• Determine data quality strategy, metrics, and business rules for a business domain to ensure that data is fit for purpose. Design and implement operational Data Quality Management (DQM) procedures. Monitor operational DQM procedures and performance. Lead data quality initiatives. Provide recommendations to leadership on needed updates to data governance policies, practices, and guidelines.

• Develop capability requirements and transition plan for the next generation of marketing data enablement technology, tools, and processes, to enable Walmart to efficiently improve marketing performance with scale. Ensures the Walmart Marketing organization has access to and ability to use and apply state-of-the-art tools.

• Drive best practices and standards around the usage of data platforms & tools.

• Partner with leadership across Walmart as a thought leader. Makes and influences strategic decisions for long-term growth. Comfortable providing input to leadership on strategic plans and assumptions.

• Takes a forward-looking view of capability needs and aligns resources according to strategic objectives.

• Evaluate proposed business cases for projects and initiatives. Approve strategies, initiatives, and projects Determine metrics and performance indicators. Outline business cases to be developed and drive delivery of work that has meaningful return on investment to the business.

• Implement data governance practices. Handle business and technology issues related to management of enterprise information assets and approaches related to data protection.

• Implement Agile Product Development Lifecycle to plan, monitor, and appraise job results.

You'll make impact by...

• Shifts comfortably between big picture strategic thinking and the tactics required to achieve outcomes.

• Ability to identify and recommend approach to resolve the business problem to create effective technology focused solutions. Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantify business impact.

• Strong data strategy skills, demonstrating an ability to understand functional business domain business requirements, and develop effective technology solutions. Knowledge of underlying marketing tech and internal data sources, database technologies and distributed datastores (e.g. SQL, NoSQL); Define and identify the most suitable sources for required data that is fit for purpose, referring to external sources as required.

• Technical knowledge of big data analytics and business intelligence, ideally within marketing technology. Experience deploying data science models and reporting solutions in scale, preferably worked with building Data tools from ground up.

• Understanding of Cloud platforms such as GCP(preferred), Azure.

• Understanding business context and strategy across product, merchandising, finance and marketing. Ability to define relevant business metrics and business areas.

• Ability to perform exploratory data analysis. Requires knowledge of relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python, and basic statistical analysis techniques to test and evaluate data accuracy, consistency, and patterns, including applying statistical hypothesis and testing techniques.

• Knowledge of data quality management techniques and standards; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools.

• Expertise developing data visualization guidelines and best practices for complex data types, to meet business requirements and drive insights and action. Technical proficiency with multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.).

• Strong communication & influencing skills. Emotional intelligence. Ability to customize communication style based on audience. Leverages relationships to drive behavioral change.

• Proven ability to guide, mentor and inspire team members.

• Shows a bias for action and anticipate the need for future projects. Remove roadblocks for others. Help develop business objectives with partner teams.

• Able to develop deep, credible relationships with senior-level executives, both inside and outside current areas of responsibility.

• Ability to influentially present information and respond to questions in one-on-one interaction and mid to large size group meetings. Comfortable presenting recommendations to executive leadership.

• Creative problem-solving skills, maturity to handle ambiguity, flexibility to perform in a dynamic environment, and ability to manage multiple projects simultaneously.

• Experience implementing programs to attract and maintain highly skilled and engaged team members. Ability to diagnosis capability gaps, recruit, select and mentor talent.

• Proficient with Microsoft Excel, Word, PowerPoint; and experience working with visual analytics platforms (e.g., Tableau) and business intelligence tools. Familiarity with retail software solutions a plus.

• Familiarity with data basics, structure, and relationships. Experience querying data from large enterprise databases. SQL proficiency a plus; not required.

• Positive attitude, ability to work well under pressure, exceptional customer service attitude. Comfortable in a decentralized structure where results are based on cooperation with and influence of others.

• Good judgment and decision-making ability.

You'll really wow us if...

• 6-8 years relevant experience in technical product management, or in roles with responsibility over data strategy and data operations dealing with large volumes of data in cloud based distributed computing environments.

• Graduate degree preferred in a quantitative discipline (e.g., economics, math, operations research).

• Minimum of 2-3 years leadership experience within a large organization, preferably in retail.

• Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption.

Live Our Values:

• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart's commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
  Servant Leadership

• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent

• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
  Digital Transformation & Change

• Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart's business model.

• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans and initiatives.

• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.

• Supports strategies and drives initiatives that attract and retain diverse and inclusive talent; builds high-performing teams; embraces diversity in all its forms; and actively supports diversity goal programs.

• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.

• Creates a discipline and focus around developing talent, builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others' contributions and accomplishments.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 6 years'
experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics,
Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in data analysis, data science,
statistics, or related field. Option 3: 8 years' experience in data analysis, data science, statistics, or related field.
3 years' supervisory experience.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience

Primary Location...
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America