Vp Of Global Data And Analytics Jobs

Bachelor’s degree or higher in sports management, data science, data engineering, computer science or other related fields

2 to 3 years work experience in the NFL

Strong written and verbal communication skills in English

Translate data and analytics findings to Officiating and Replay executives

Measure and build reports summarizing key Officiating and Replay metrics

Disseminate weekly analytics reports related to Officiating and Replay

Exceptionally strong stakeholder management, influencing and executive-level communication skills

You possess excellent leadership skills with experience managing and developing a team

Collaborate with peers in technology and data teams to refine company approach to data management, reporting, etc.

10-15 years of progressive experience in data analytics, machine learning, and AI

Advanced experience with PowerPoint, Word, Excel, and Think-Cell

Demonstrated effective problem-solving skills, ability to make sound strategic decisions

Exceptional leadership and team management abilities, with a proven ability to inspire, develop, and mentor high-performing teams.

Additional Information | Qualifications, Experience & Skills Required

Excellent strategic thinking and problem-solving skills, with the ability to translate complex data into actionable insights and recommendations.

Excellent communication and presentation skills, with the ability to effectively convey research findings and insights to both technical and non-technical stakeholders.

Collaborate with senior executives to define the consumer insights and analytics vision, goals, and strategies that align with the company's objectives.

Develop and implement a comprehensive consumer research roadmap, ensuring it addresses key business questions and supports critical decision-making processes.

Strong knowledge and experience with modern Data & Analytics platforms including Data Lake, Data Bricks, ML Ops, AI and ML capabilities

Hands-on knowledge of current technology standards/trends coupled with a desire to continually expand personal knowledge/skills

Working Knowledge of Data Streaming or similar capabilities such as Kafka, Kinesis, etc.

Manage the engagement / coordination across delivery teams to ensure high quality project delivery within scope, timeframe, and budgets

Mentor and coach engineering teams to increase skill levels and drive quality.

15+ years of overall technology experience in strategy, architecture, engineering, and implementing technology solutions and services

Collaborate with finance, product management, R&D, and marketing on messaging, pricing strategies, and business models to achieve revenue and profit goals.

Work with the product management & development/engineering teams to manage e2e product lifecycle for portfolio.

Ability to effectively interact with and earn the trust of peers and senior management across the organization.

Ability to demonstrate strong leadership skills.

Ability to demonstrate excellent written and verbal communication skills and the ability to engage at all levels of the organization.

Shape growth agenda and drive growth initiatives for the solutions portfolio.

Extensive working knowledge in Modeling, Forecasting, & Data Management.

Extensive working knowledge of basic analytic tools, with advanced experience in Excel and Python.

Exact compensation may vary based on skills, experience, and location.

Extensive working knowledge in database marketing principles & digital analytics (site analytics, social, EM, online)

Possesses exceptional written and verbal communication skills.

Strong leadership skills with a desire to build and develop the team.

Leverage your expertise in data analytics and enterprise performance management to position our solutions effectively in the market.

Utilize your experience and knowledge of the Microsoft Data Analytics stack to drive sales and provide valuable insights to clients.

Solid track record in enterprise sales, cloud management, data analytics, and IT services

Strong understanding of data analytics, enterprise performance management, and the digital media measurement landscape.

Lead and manage a high-performing sales team, providing guidance, coaching, and support to achieve sales targets.

Develop and manage budgets, business plans, and financial forecasts to ensure revenue and profitability goals are met.

Strong project management, attention to detail and time management skills

Lead the deployment of analytic systems and reporting projects, including website testing, campaign management, Pilot/in-market analysis (A/B and multi-variate test

Excellent written and verbal communications skills including storytelling abilities

Working knowledge of Scrum/Agile experience and methodologies

10+ years’ experience leading people and teams

10+ years’ experience in reporting and analytics

Leverage your expertise in data analytics and enterprise performance management to position our solutions effectively in the market.

Utilize your experience and knowledge of the Microsoft Data Analytics stack to drive sales and provide valuable insights to clients.

Solid track record in enterprise sales, cloud management, data analytics, and IT services

Strong understanding of data analytics, enterprise performance management, and the digital media measurement landscape.

Lead and manage a high-performing sales team, providing guidance, coaching, and support to achieve sales targets.

Develop and manage budgets, business plans, and financial forecasts to ensure revenue and profitability goals are met.

Lead the development and implementation of data collection, storage, and analysis processes, leveraging the latest technologies and tools

Establish key performance indicators (KPIs) and metrics for measuring data quality, performance, and impact, and track progress against these targets

Partner with cross-functional teams to identify and prioritize data-driven opportunities and initiatives that will drive business growth and profitability

Stay up-to-date with the latest developments in data analytics and

Vice President of Data and Analytics

Manage the implementation process and ensure that projects are delivered on time and within budget

5+ years of experience in consulting or a related field

Experience in Data Science & Analytics

Strong understanding of business requirements

Strong analytical and problem-solving skills

Experience working with senior executives and c-level leadership

· 7 to 10 years of BSA/AML/OFAC compliance experience, particularly with data, platforms, and data management.

· BSA/AML compliance experience, particularly with data, platforms, and data management.

· Develop MIS reports for submission to senior Branch management.

· Apply economic, quantitative, and statistical skills in the development of tools and systems.

· Strong reasoning ability and analytical skills.

· Knowledge of analytics regarding customer onboarding, customer due diligence, and/or periodic reviews.

Lead the data engineering, data management, data science, and machine learning teams

Manage and foster both formal and informal talent development activities.

A minimum of 10 years of experience in data science, with at least 5 years of experience in a leadership role

Strong experience with iterative delivery methodologies such as Agile or Scrum applied to data science or machine learning teams.

At least 5 years experience with healthcare or payer technology

Execute a continual planning process that delivers dependable results

Position: VP Analytics & RWE

Support sales in identifying commercial opportunities, pitching to customers, and building proposals and sales collateral.

Work with executive leadership to drive strategy and innovation by incorporating subject matter expertise and customer feedback.

Support product and data science teams in designing customer-centric and need-driven solutions.

MPH/MsC or Ph.D. in Epidemiology or related field in healthcare.

Clinical expertise in one or more areas including oncology, immunology, cardiovascular, neurology, infectious disease, etc.

Experience with CDP (Customer Data Platforms)

● Innovates, leads, develops, and scales our capabilities, to match our hyper-growth

● Strong knowledge of data analytics tools and techniques, including data mining, machine learning, and statistical analysis

● Experience in leading data engineering and data science teams

Data Analytics/ BI, Data Engineering & Data Science/ Machine Learning

$200-300K Base + Bonus + Equity

Expert knowledge and applied experience in integrated, multi-channel marketing/advertising campaign tactics – including off-line and online/digital channels

Expert skills in digital analytics tools such as Google Analytics, Tag Manager, Adobe, etc.

Expert knowledge and experience in marketing technology solutions, software/tools, database partners/vendors, etc,. providing solutions/services in this area

Experience in scoping, pricing and staffing analytic engagements

Expert knowledge of marketing/advertising/research principles

Expert knowledge of analytic solutions platforms and software

5+ years of project management skills and experience

Evangelize the value of Verizon sharing its data assets to drive acquisition, account management and portfolio strategies to improve portfolio performance.

5+ years of leadership/managerial experience within the financial services or credit card payments

Demonstrated ability to manage remotely located teams in India and the US

Proven hands-on experience utilizing SAS or SQL data mining skills as well as open-source tools such as R and Python.

Co-manage team of offshore analysts to ensure high quality execution and delivery of business insights to drive profitable growth

Required Qualifications, Skills and Capabilities':

Experience with educating teams in data literacy and data tools is beneficial.

Certification in Alteryx, Tableau or other digital tools is welcomed.

Liaise with the product / Engineering team to establish data connections for the aligned business area.

Oversee testing new product features, prioritizing/proposing enhancement requests and more.

Candidates must be comfortable with change, ambiguity, debate, conflict and informed risk taking.

What You Need to Succeed / Required Skills

· 12+ years’ experience in AI, ML, Data Science, Analytics, NLP/NLU/NLG

· Domain experience in developing and implementing solutions in Financial, Technology, Manufacturing, or Consumer sectors

· Advanced Certification in AWS, Azure, or Snowflake is preferred

· Strong leadership skills, with the ability to inspire and motivate team members to achieve their potential

· Exceptional communication skills, with meticulous attention to detail.

Experience with educating teams in data literacy and data tools is beneficial.

Certification in Alteryx, Tableau or other digital tools is welcomed.

Liaise with the product / Engineering team to establish data connections for the aligned business area.

Oversee testing new product features, prioritizing/proposing enhancement requests and more.

Candidates must be comfortable with change, ambiguity, debate, conflict and informed risk taking.

Culturally, candidates must share the team values such as collaboration, diversity, and respect.