Plays a defining role in how future member experience journeys are constructed and governed. Assists AARP in preparing for the expanding, targeted experience demand to stay relevant to member value exchanges. Architects, designs, engineers, interprets, and governs a centralized, crucial member experience data model that will leverage operational big data intelligence to predict, advise, and enact appropriate, triggered actions for individual member persona tracks. Understands “Machine Learning,” AI data signaling, and predictive, algorithmic modeling.
Areas of Responsibility:
- Leads a program that will tie together and govern individual AARP member and member action data enterprise-wide in order to deliver appropriate, targeted, and sequenced content to the member based on their perceived interests.
- Fosters critical thinking, synthesis, and integration with AARP business units to understand, document, and utilize all relevant and accessible experience data points, correlations, and corresponding definitions.
- Determines and tracks what key action thresholds and “moment of truth trigger points” within current and historical data sets are needed to build a predictive model that can identify patterns of future engagement and place an individual on an appropriate “personal journey.”
- Develops and maintains an AARPx data dashboard set of key member data trigger points and outcomes used to manage centralized, predictive engine capabilities.
- Acts as an agent of change by defining and articulating strategic data technology direction on how new and existing members are consuming AARP content, products, and services to continually hone specific member experience journeys.
- Leads the implementation of predictive data recommendations surrounding member renewals to a team of “Journey Managers” focused on the first-year digital experiences of specific AARP member segments, allowing them to deliver new and realized value through focused content and service programming.
- Serves as a motivator, mentor, and role model in guiding technical and leadership development for other engineers and business data owners.
- Understands cognitive computing, text analytics, and machine learning best practices in order to design and implement a best-in-class, predictive, and automated experience AI model
- Understands industry “predictive AI” technologies are needed in order to build and operationalize a best-in-class predictive analytics modeling engine that can identify data signal patterns and automate sequenced persona journey triggers.
- Engineers dynamic segmentation models of AARP members based on specific life stages, behaviors, and recognized topic preferences that can be aligned to unique AARP experience journeys.
- Understands any gaps in AARP’s current technology infrastructure capabilities and recommends what may be needed in order to build a “best-in-class” predictive engine and operations at scale.
- Ensures proper data integrity, reporting definitions, and consistent data object references are constructed, maintained, and continually communicated.
- Uses multiple data sets and balanced scorecard measurements, including NPS, member lifetime value, member value indexing, etc. to define an operational model to track and grow members based on their value exchanges and understanding of AARP.
- Utilizes recognized consumer “trigger points” of value within AARPx consumer experience journeys to fully demonstrate what potential curated content or activity is needed to move a consumer into deeper engagement with AARP.
- Develops a tracking capability to harness top-level, priority journey stages, where members fall within each stage and what curated triggers are needed to uplift members to a higher engagement level.
- Provides direction on the curation of enterprise operational tracking for top AARP products and services, understanding the complete member value index for top products and services by correlating member lifetime value to incremental, categorical value engagement levels.
Educational Background:
Completion of a Bachelor’s degree
Skills/Experience:
- A minimum of 10+ years of proven experience managing data or large-scale analytics projects with multiple stakeholders from different departments.
- Must have a working knowledge of data warehousing, data analysis, and Al modeling methodologies.
- Superior organizational skills, with the ability to manage multiple projects at one time.
- Proven ability to nurture positive working relationships and to create a collaborative environment with cross-functional groups, while consistently maintaining and communicating “the big picture.”
Compensation/Benefits:
AARP offers competitive benefits with a 401K, 100% company funded pension plan, health, dental, vision and life insurance, STD/LTD, paid vacation and sick, and other benefits.
How to Apply:
https://careers.aarp.org/ShowJob/Id/1461193/Sr-Advisor,-AARPx-(Experience)-Value-Delivery/
Job Function:
Organization Info
Listing Stats
Post Date:
May 27 2018
Active Until:
Jun 27 2018
Hiring Organization:
AARP
industry:
Nonprofit